source: YC batch F2024 founder at Candle. Role: Co-Founder and CTO. Previously worked on ads relevance & ranking @ Twitter, and architected changes to the sharing/permissions framework @ Asana.

c00: Public author profile is associated with Antea Group (France). Recent work in ai and machine learning includes 'Aligned, Orthogonal or In-conflict: When can we safely optimize Chain-of-Thought?'. Studies when optimizing an LLM's visible chain-of-thought stays a faithful monitor of its reasoning versus becomes misleading. OpenAlex concept tags include "medicine, biology, genetics, immunology '.

c01: Public author profile is associated with Erasmus MC. Recent work in computer vision includes 'SurgNavAR: An Augmented Reality Surgical Navigation Framework for Optical See-Through Head Mounted Displays'. An augmented-reality surgical navigation system that overlays preoperative 3D imaging via optical see-through headsets. OpenAlex concept tags include "medicine, surgery, radiology, internal medicine '.

c02: Public author profile is associated with Erasmus MC. Recent work in computer vision includes 'SurgNavAR: An Augmented Reality Surgical Navigation Framework for Optical See-Through Head Mounted Displays'. An augmented-reality surgical navigation system that overlays preoperative 3D imaging via optical see-through headsets. OpenAlex concept tags include "neurocognitive, cognition, psychiatry, psychology '.

c03: Public author profile is associated with Shanghai University. Recent work in computer vision includes 'OmniRoam: World Wandering via Long-Horizon Panoramic Video Generation'. Generates long-horizon, navigable panoramic video to model persistent, explorable 3D scenes. OpenAlex concept tags include "biology, computer science, artificial intelligence, gene '.

c04: Public author profile is associated with Alibaba Group (United States). Recent work in ai and machine learning includes 'Think Anywhere in Code Generation'. Lets a reasoning LLM interleave thinking throughout code generation instead of only reasoning upfront. OpenAlex concept tags include "computer science, artificial intelligence, physics, programming language '.

c05: Recent work in computational materials and physics includes 'Learning the Exact Flux: Neural Riemann Solvers with Hard Constraints'. Trains a neural network to approximate exact Riemann-problem fluxes for Godunov-type computational fluid dynamics solvers. OpenAlex concept tags include "storm, computer science, meteorology, shallow water equations '.

c06: Public author profile is associated with Munster Technological University. Recent work in ai and machine learning includes 'Quantifying Cross-Modal Interactions in Multimodal Glioma Survival Prediction via InterSHAP: Evidence for Additive Signal Integration'. Uses InterSHAP to test whether multimodal glioma survival prediction truly gains from cross-modal interaction, not just additive signals. OpenAlex concept tags include "psychology, computer science, artificial intelligence, machine learning '.

c07: Recent work in computational materials and physics includes 'Molecular beam epitaxy of wafer-scale O-band InAs/InGaAs quantum dots on GaAs for quantum photonics'. Grows wafer-scale, electrically tunable O-band InAs/InGaAs quantum dots on GaAs by molecular beam epitaxy for quantum photonics. OpenAlex concept tags include "optics, physics, electron, engineering '.

c08: Public author profile is associated with Geoscience BC. Recent work in quantitative social science and economics includes 'GPU-accelerated Bayesian inference for block-cave mine monitoring via muon tomography'. Speeds up Bayesian inversion of muon-tomography data with GPUs to monitor rock density in block-cave mining. OpenAlex concept tags include "inversion (geology), computer science, geology, time domain '.

c09: Recent work in computational materials and physics includes 'Molecular beam epitaxy of wafer-scale O-band InAs/InGaAs quantum dots on GaAs for quantum photonics'. Grows wafer-scale, electrically tunable O-band InAs/InGaAs quantum dots on GaAs by molecular beam epitaxy for quantum photonics. OpenAlex concept tags include "quantum dot, physics, optoelectronics, materials science '.

c10: Public author profile is associated with Guangdong University of Technology. Recent work in ai and machine learning includes 'Quantifying Cross-Modal Interactions in Multimodal Glioma Survival Prediction via InterSHAP: Evidence for Additive Signal Integration'. Uses InterSHAP to test whether multimodal glioma survival prediction truly gains from cross-modal interaction, not just additive signals. OpenAlex concept tags include "computer science, materials science, physics, engineering '.

c12: Public author profile is associated with Hengyang Normal University. Recent work in computer vision includes 'Benchmarking PhD-Level Coding in 3D Geometric Computer Vision'. Benchmarks how well AI coding models handle graduate-level 3D geometric computer-vision programming tasks. OpenAlex concept tags include "chemistry, medicine, biology, organic chemistry '.

c14: Public author profile is associated with University Hospital Regensburg. Recent work in computational biology includes 'Modeling the mutational dynamics of very short tandem repeats'. Models how very short tandem-repeat sequences in the genome mutate and expand or contract over generations. OpenAlex concept tags include "lineage (genetic), biology, computational biology, genetics '.

c15: Public author profile is associated with Central South University. Recent work in quantitative social science and economics includes 'A Bayesian Finite Mixture Model Approach for Mixed-type Data Clustering and Variable Selection with Censored Biomarkers'. Bayesian finite-mixture clustering for patient data mixing continuous, categorical, and censored biomarker variables, with built-in variable selection. OpenAlex concept tags include "materials science, chemistry, composite material, organic chemistry '.

c16: Public author profile is associated with Suzhou University of Science and Technology. Recent work in computer vision includes 'Benchmarking PhD-Level Coding in 3D Geometric Computer Vision'. Benchmarks how well AI coding models handle graduate-level 3D geometric computer-vision programming tasks. OpenAlex concept tags include "computer science, artificial intelligence, pattern recognition (psychology), machine learning '.

c17: Recent work in ai and machine learning includes 'Aligned, Orthogonal or In-conflict: When can we safely optimize Chain-of-Thought?'. Studies when optimizing an LLM's visible chain-of-thought stays a faithful monitor of its reasoning versus becomes misleading. OpenAlex concept tags include "situation awareness, software deployment, risk analysis (engineering), psychology '.

c18: Public author profile is associated with Anhui University. Recent work in ai and machine learning includes 'Think Anywhere in Code Generation'. Lets a reasoning LLM interleave thinking throughout code generation instead of only reasoning upfront. OpenAlex concept tags include "computer science, programming language, artificial intelligence, software engineering '.

c19: Public author profile is associated with Alexandru Ioan Cuza University. Recent work in ai and machine learning includes 'Aligning Validation with Deployment: Target-Weighted Cross-Validation for Spatial Prediction'. Proposes a target-weighted cross-validation scheme so spatial-prediction error estimates match the actual deployment distribution. OpenAlex concept tags include "geology, computer science, environmental science, geography '.

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c00：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

criteria: 没有具体关联 只有泛泛的领域相似 有具体共同方向或可用的互补能力 有非常明确的共同工作内容或直接互补

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c01：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c02：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c03：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c04：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c05：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c06：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c07：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c08：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c09：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c10：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c11：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c12：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c13：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c14：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c15：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c16：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c17：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c18：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c19：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补


source: YC batch S2020 founder at Humanloop. Role: Co-founder and CTO. Previously Co-founder @Certua. ML PhD at UCL and BSc Mathematics at Trinity.

c00: Public author profile is associated with Shanghai University. Recent work in computer vision includes 'OmniRoam: World Wandering via Long-Horizon Panoramic Video Generation'. Generates long-horizon, navigable panoramic video to model persistent, explorable 3D scenes. OpenAlex concept tags include "biology, computer science, artificial intelligence, gene '.

c01: Public author profile is associated with Texas Tech University. Recent work in ai and machine learning includes 'Reward-Based Online LLM Routing via NeuralUCB'. Uses a NeuralUCB bandit algorithm to route queries among LLMs online for cost-aware reward optimization. OpenAlex concept tags include "biology, medicine, chemistry, bacteria '.

c02: Public author profile is associated with University of Würzburg. Recent work in computational materials and physics includes 'Molecular beam epitaxy of wafer-scale O-band InAs/InGaAs quantum dots on GaAs for quantum photonics'. Grows wafer-scale, electrically tunable O-band InAs/InGaAs quantum dots on GaAs by molecular beam epitaxy for quantum photonics. OpenAlex concept tags include "physics, materials science, optics, optoelectronics '.

c03: Public author profile is associated with Tianjin Hospital. Recent work in computational materials and physics includes 'A Precision Emulation Approach to the GPU Acceleration of Ab Initio Electronic Structure Calculations'. Emulates double-precision arithmetic with INT8 GPU operations to speed up first-principles electronic-structure calculations. OpenAlex concept tags include "computer science, geology, cloud computing, artificial intelligence '.

c04: Public author profile is associated with Tongji University. Recent work in computational materials and physics includes 'A Precision Emulation Approach to the GPU Acceleration of Ab Initio Electronic Structure Calculations'. Emulates double-precision arithmetic with INT8 GPU operations to speed up first-principles electronic-structure calculations. OpenAlex concept tags include "chemistry, physics, materials science, computer science '.

c05: Public author profile is associated with University of Manchester. Recent work in computational materials and physics includes 'Deep-UV bleaching of charge disorder in encapsulated graphene'. Uses deep-UV light to reduce charged-impurity disorder in encapsulated graphene, improving two-dimensional electronic device quality. OpenAlex concept tags include "semiconductor, electron, physics, quantum hall effect '.

c06: Recent work in quantitative social science and economics includes 'A Unified Framework for Nonlinear Mediation Analysis of Random Objects'. Extends mediation analysis to non-Euclidean data like distributions, images, and networks using a nonlinear geometric framework. OpenAlex concept tags include "medicine, biology, cancer, internal medicine '.

c07: Public author profile is associated with Schott (Germany). Recent work in computational materials and physics includes 'Molecular beam epitaxy of wafer-scale O-band InAs/InGaAs quantum dots on GaAs for quantum photonics'. Grows wafer-scale, electrically tunable O-band InAs/InGaAs quantum dots on GaAs by molecular beam epitaxy for quantum photonics. OpenAlex concept tags include "nanowire, materials science, physics, optoelectronics '.

c08: Public author profile is associated with Council of Agriculture. Recent work in ai and machine learning includes 'Reward-Based Online LLM Routing via NeuralUCB'. Uses a NeuralUCB bandit algorithm to route queries among LLMs online for cost-aware reward optimization. OpenAlex concept tags include "irrigation, water resource management, environmental science, engineering '.

c09: Public author profile is associated with Nanchang University. Recent work in computer vision includes 'OmniRoam: World Wandering via Long-Horizon Panoramic Video Generation'. Generates long-horizon, navigable panoramic video to model persistent, explorable 3D scenes. OpenAlex concept tags include "chemistry, biology, engineering, biochemistry '.

c10: Public author profile is associated with University of Würzburg. Recent work in computational materials and physics includes 'Molecular beam epitaxy of wafer-scale O-band InAs/InGaAs quantum dots on GaAs for quantum photonics'. Grows wafer-scale, electrically tunable O-band InAs/InGaAs quantum dots on GaAs by molecular beam epitaxy for quantum photonics. OpenAlex concept tags include "quantum dot, physics, photon, quantum '.

c11: Public author profile is associated with University of Shanghai for Science and Technology. Recent work in computer vision includes 'Conditional Polarization Guidance for Camouflaged Object Detection'. Uses polarization cues, conditioned on scene context, to help detect objects camouflaged against their background. OpenAlex concept tags include "medicine, biology, internal medicine, virology '.

c12: Public author profile is associated with Schott (Germany). Recent work in computational materials and physics includes 'Molecular beam epitaxy of wafer-scale O-band InAs/InGaAs quantum dots on GaAs for quantum photonics'. Grows wafer-scale, electrically tunable O-band InAs/InGaAs quantum dots on GaAs by molecular beam epitaxy for quantum photonics. OpenAlex concept tags include "quantum dot, photon, optoelectronics, physics '.

c13: Public author profile is associated with Schott (Germany). Recent work in computational materials and physics includes 'Molecular beam epitaxy of wafer-scale O-band InAs/InGaAs quantum dots on GaAs for quantum photonics'. Grows wafer-scale, electrically tunable O-band InAs/InGaAs quantum dots on GaAs by molecular beam epitaxy for quantum photonics. OpenAlex concept tags include "materials science, physics, optoelectronics, optics '.

c14: Public author profile is associated with Alexandru Ioan Cuza University. Recent work in ai and machine learning includes 'Aligning Validation with Deployment: Target-Weighted Cross-Validation for Spatial Prediction'. Proposes a target-weighted cross-validation scheme so spatial-prediction error estimates match the actual deployment distribution. OpenAlex concept tags include "geology, computer science, environmental science, geography '.

c15: Public author profile is associated with Hebei Agricultural University. Recent work in computational materials and physics includes 'A Precision Emulation Approach to the GPU Acceleration of Ab Initio Electronic Structure Calculations'. Emulates double-precision arithmetic with INT8 GPU operations to speed up first-principles electronic-structure calculations. OpenAlex concept tags include "biology, antibiotics, microbiology, gene '.

c16: Public author profile is associated with University of Twente. Recent work in computer vision includes 'SurgNavAR: An Augmented Reality Surgical Navigation Framework for Optical See-Through Head Mounted Displays'. An augmented-reality surgical navigation system that overlays preoperative 3D imaging via optical see-through headsets. OpenAlex concept tags include "augmented reality, sensory cue, psychology, gait '.

c17: Public author profile is associated with Schott (Germany). Recent work in computational materials and physics includes 'Molecular beam epitaxy of wafer-scale O-band InAs/InGaAs quantum dots on GaAs for quantum photonics'. Grows wafer-scale, electrically tunable O-band InAs/InGaAs quantum dots on GaAs by molecular beam epitaxy for quantum photonics. OpenAlex concept tags include "physics, materials science, optoelectronics, optics '.

c18: Public author profile is associated with Ames National Laboratory. Recent work in computational materials and physics includes 'A Precision Emulation Approach to the GPU Acceleration of Ab Initio Electronic Structure Calculations'. Emulates double-precision arithmetic with INT8 GPU operations to speed up first-principles electronic-structure calculations. OpenAlex concept tags include "materials science, physics, density functional theory, condensed matter physics '.

c19: Public author profile is associated with Schott (Germany). Recent work in computational materials and physics includes 'Molecular beam epitaxy of wafer-scale O-band InAs/InGaAs quantum dots on GaAs for quantum photonics'. Grows wafer-scale, electrically tunable O-band InAs/InGaAs quantum dots on GaAs by molecular beam epitaxy for quantum photonics. OpenAlex concept tags include "physics, quantum dot, photon, optoelectronics '.

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c00：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

criteria: 没有具体关联 只有泛泛的领域相似 有具体共同方向或可用的互补能力 有非常明确的共同工作内容或直接互补

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c01：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c02：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c03：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c04：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c05：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c06：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c07：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c08：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c09：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c10：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c11：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c12：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c13：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c14：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c15：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c16：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c17：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c18：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c19：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补


source: YC batch S2020 founder at Humanloop. Role: Founder. Ex-MonolithAI and Google. ML PhD @ UCL and MSc in Physics @ Cambridge.

c00: Recent work in computational biology includes 'Quantifying Memorization and Privacy Risks in Genomic Language Models'. Measures how much genomic language models memorize training DNA sequences and the resulting privacy risk.

c01: Public author profile is associated with Peking University. Recent work in ai and machine learning includes 'Think Anywhere in Code Generation'. Lets a reasoning LLM interleave thinking throughout code generation instead of only reasoning upfront. OpenAlex concept tags include "computer science, artificial intelligence, programming language, software engineering '.

c02: Public author profile is associated with Technical University of Munich. Recent work in quantitative social science and economics includes 'Tree models for covariate-dependent method agreement with repeated measurements in clinical research'. Uses tree models to let Bland-Altman measurement-agreement analysis vary with covariates under repeated clinical measurements. OpenAlex concept tags include "medicine, internal medicine, computer science, biology '.

c03: Recent work in ai and machine learning includes 'Tucker Attention: A generalization of approximate attention mechanisms'. Generalizes memory-efficient attention variants like grouped-query and multi-head latent attention via Tucker tensor decomposition. OpenAlex concept tags include "mathematics, computer science, applied mathematics, mathematical analysis '.

c04: Public author profile is associated with Technical University of Munich. Recent work in quantitative social science and economics includes 'Tree models for covariate-dependent method agreement with repeated measurements in clinical research'. Uses tree models to let Bland-Altman measurement-agreement analysis vary with covariates under repeated clinical measurements. OpenAlex concept tags include "medicine, internal medicine, biology, computer science '.

c05: Public author profile is associated with Sharif University of Technology. Recent work in quantitative social science and economics includes 'GPU-accelerated Bayesian inference for block-cave mine monitoring via muon tomography'. Speeds up Bayesian inversion of muon-tomography data with GPUs to monitor rock density in block-cave mining. OpenAlex concept tags include "indecomposable module, associated prime, discrete mathematics, combinatorics '.

c06:
[person] (@[person]). works with @NVIDIA.

I like puns.

Representative projects and topics: A modal TUI for tracking home projects, maintenance schedules, appliances, and vendor quotes.; the portable Python dataframe library; Protocol Buffers for the rest of us; Run Numba compiled functions in SQLite; Time everything in IPython; Continuous background code review database for agents, work faster and smarter with accountability for every line of generated code..

c07: Recent work in quantitative social science and economics includes 'A Unified Framework for Nonlinear Mediation Analysis of Random Objects'. Extends mediation analysis to non-Euclidean data like distributions, images, and networks using a nonlinear geometric framework. OpenAlex concept tags include "medicine, biology, cancer, internal medicine '.

c08: Public author profile is associated with Nanchang University. Recent work in computer vision includes 'OmniRoam: World Wandering via Long-Horizon Panoramic Video Generation'. Generates long-horizon, navigable panoramic video to model persistent, explorable 3D scenes. OpenAlex concept tags include "chemistry, biology, engineering, biochemistry '.

c09: Recent work in ai and machine learning includes 'Think Anywhere in Code Generation'. Lets a reasoning LLM interleave thinking throughout code generation instead of only reasoning upfront. OpenAlex concept tags include "biology, chemistry, environmental science, oceanography '.

c10: Public author profile is associated with Geoscience BC. Recent work in quantitative social science and economics includes 'GPU-accelerated Bayesian inference for block-cave mine monitoring via muon tomography'. Speeds up Bayesian inversion of muon-tomography data with GPUs to monitor rock density in block-cave mining. OpenAlex concept tags include "inversion (geology), computer science, geology, time domain '.

c11: Recent work in quantitative social science and economics includes 'Association of Radiologic PPFE Change with Mortality in Lung Cancer Screening Cohorts'. Tracks radiologic pleuroparenchymal fibroelastosis changes in lung-cancer screening cohorts and tests their association with mortality.

c12: Public author profile is associated with Southwest Forestry University. Recent work in computer vision includes 'OmniRoam: World Wandering via Long-Horizon Panoramic Video Generation'. Generates long-horizon, navigable panoramic video to model persistent, explorable 3D scenes. OpenAlex concept tags include "medicine, biology, environmental science, environmental health '.

c13: Public author profile is associated with Austin College. Recent work in computational biology includes 'Poisoning the Genome: Targeted Backdoor Attacks on DNA Foundation Models'. Demonstrates targeted backdoor data-poisoning attacks against genomic foundation models trained on DNA sequences. OpenAlex concept tags include "computer science, genome, sequence (biology), dna sequencing '.

c14: Recent work in quantitative social science and economics includes 'GPU-accelerated Bayesian inference for block-cave mine monitoring via muon tomography'. Speeds up Bayesian inversion of muon-tomography data with GPUs to monitor rock density in block-cave mining. OpenAlex concept tags include "computer science, mathematics, statistics, artificial intelligence '.

c15: Public author profile is associated with Pennsylvania State University. Recent work in computational biology includes 'Poisoning the Genome: Targeted Backdoor Attacks on DNA Foundation Models'. Demonstrates targeted backdoor data-poisoning attacks against genomic foundation models trained on DNA sequences. OpenAlex concept tags include "biology, genome, genetics, computational biology '.

c16: Recent work in quantitative social science and economics includes 'GPU-accelerated Bayesian inference for block-cave mine monitoring via muon tomography'. Speeds up Bayesian inversion of muon-tomography data with GPUs to monitor rock density in block-cave mining. OpenAlex concept tags include "computer science, linguistics, geography, archaeology '.

c17: Public author profile is associated with University of Pittsburgh. Recent work in quantitative social science and economics includes 'A Bayesian Finite Mixture Model Approach for Mixed-type Data Clustering and Variable Selection with Censored Biomarkers'. Bayesian finite-mixture clustering for patient data mixing continuous, categorical, and censored biomarker variables, with built-in variable selection. OpenAlex concept tags include "medicine, internal medicine, disease, intensive care medicine '.

c18: Public author profile is associated with University of Pittsburgh. Recent work in quantitative social science and economics includes 'A Bayesian Finite Mixture Model Approach for Mixed-type Data Clustering and Variable Selection with Censored Biomarkers'. Bayesian finite-mixture clustering for patient data mixing continuous, categorical, and censored biomarker variables, with built-in variable selection. OpenAlex concept tags include "medicine, internal medicine, cancer, intensive care medicine '.

c19: Public author profile is associated with Technological University Dublin. Recent work in ai and machine learning includes 'Meteorology-Driven GPT4AP: A Multi-Task Forecasting LLM for Atmospheric Air Pollution in Data-Scarce Settings'. A multi-task LLM that uses meteorological inputs to forecast air pollution in regions with sparse monitoring data. OpenAlex concept tags include "computer science, artificial intelligence, geography, engineering '.

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c00：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

criteria: 没有具体关联 只有泛泛的领域相似 有具体共同方向或可用的互补能力 有非常明确的共同工作内容或直接互补

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c01：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c02：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c03：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c04：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c05：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c06：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c07：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c08：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c09：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c10：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c11：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c12：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c13：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c14：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c15：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c16：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c17：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c18：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c19：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补


source: YC batch S2024 founder at Laminar. Role: Founder. Co-founder and CEO @ Laminar (lmnr.ai). Previously interned at Palantir building semantic search and at Bloomberg scaling market tick processing pipeline by 10x to 10M ticks/s.

c00: Public author profile is associated with Columbia University. Recent work in quantitative social science and economics includes 'When Bayes goes bad: Weakly-regularized covariate adjustment leads to a biased estimate of prevalence'. Shows weak regularization in Bayesian covariate-adjusted prevalence estimation from non-random samples can bias the result. OpenAlex concept tags include "mathematics, computer science, statistics, econometrics '.

c01:
[person] (@[person]). base in Amsterdam; works with @pydantic.

[contact removed]

Representative projects and topics: Data validation using Python type hints; A flake8 plugin to check Pydantic related code.; Automatically add type hints for Django powered applications.; An extensible and sane implementation of JsonLogic; A Python library for tree data structures with an intuitive, yet powerful API.; PyPy is a very fast and compliant implementation of the Python language..

c02: Public author profile is associated with Max Planck Institute for Dynamics of Complex Technical Systems. Recent work in ai and machine learning includes 'Tucker Attention: A generalization of approximate attention mechanisms'. Generalizes memory-efficient attention variants like grouped-query and multi-head latent attention via Tucker tensor decomposition. OpenAlex concept tags include "mathematics, computer science, mathematical optimization, artificial intelligence '.

c03: Public author profile is associated with Technical University of Munich. Recent work in quantitative social science and economics includes 'Tree models for covariate-dependent method agreement with repeated measurements in clinical research'. Uses tree models to let Bland-Altman measurement-agreement analysis vary with covariates under repeated clinical measurements. OpenAlex concept tags include "medicine, internal medicine, biology, computer science '.

c04: Public author profile is associated with Sun Yat-sen University. Recent work in quantitative social science and economics includes 'A Bayesian Finite Mixture Model Approach for Mixed-type Data Clustering and Variable Selection with Censored Biomarkers'. Bayesian finite-mixture clustering for patient data mixing continuous, categorical, and censored biomarker variables, with built-in variable selection. OpenAlex concept tags include "chemistry, materials science, biology, biochemistry '.

c05: Public author profile is associated with Royal Adelaide Hospital. Recent work in quantitative social science and economics includes 'When Bayes goes bad: Weakly-regularized covariate adjustment leads to a biased estimate of prevalence'. Shows weak regularization in Bayesian covariate-adjusted prevalence estimation from non-random samples can bias the result. OpenAlex concept tags include "medicine, psychology, computer science, nursing '.

c06: Public author profile is associated with Hengyang Normal University. Recent work in computer vision includes 'Benchmarking PhD-Level Coding in 3D Geometric Computer Vision'. Benchmarks how well AI coding models handle graduate-level 3D geometric computer-vision programming tasks. OpenAlex concept tags include "chemistry, medicine, biology, organic chemistry '.

c07: Public author profile is associated with Technical University of Munich. Recent work in quantitative social science and economics includes 'Tree models for covariate-dependent method agreement with repeated measurements in clinical research'. Uses tree models to let Bland-Altman measurement-agreement analysis vary with covariates under repeated clinical measurements. OpenAlex concept tags include "medicine, internal medicine, computer science, biology '.

c08: Public author profile is associated with Munster Technological University. Recent work in ai and machine learning includes 'Quantifying Cross-Modal Interactions in Multimodal Glioma Survival Prediction via InterSHAP: Evidence for Additive Signal Integration'. Uses InterSHAP to test whether multimodal glioma survival prediction truly gains from cross-modal interaction, not just additive signals. OpenAlex concept tags include "psychology, computer science, artificial intelligence, machine learning '.

c09: Public author profile is associated with Guangdong University of Technology. Recent work in ai and machine learning includes 'Quantifying Cross-Modal Interactions in Multimodal Glioma Survival Prediction via InterSHAP: Evidence for Additive Signal Integration'. Uses InterSHAP to test whether multimodal glioma survival prediction truly gains from cross-modal interaction, not just additive signals. OpenAlex concept tags include "computer science, materials science, physics, engineering '.

c10: Public author profile is associated with University College Dublin. Recent work in ai and machine learning includes 'Meteorology-Driven GPT4AP: A Multi-Task Forecasting LLM for Atmospheric Air Pollution in Data-Scarce Settings'. A multi-task LLM that uses meteorological inputs to forecast air pollution in regions with sparse monitoring data. OpenAlex concept tags include "computer science, artificial intelligence, environmental science, meteorology '.

c11: Public author profile is associated with NewYork–Presbyterian Hospital. Recent work in quantitative social science and economics includes 'When Bayes goes bad: Weakly-regularized covariate adjustment leads to a biased estimate of prevalence'. Shows weak regularization in Bayesian covariate-adjusted prevalence estimation from non-random samples can bias the result. OpenAlex concept tags include "medicine, internal medicine, chemistry, biology '.

c12: Public author profile is associated with Monash University. Recent work in quantitative social science and economics includes 'When Bayes goes bad: Weakly-regularized covariate adjustment leads to a biased estimate of prevalence'. Shows weak regularization in Bayesian covariate-adjusted prevalence estimation from non-random samples can bias the result. OpenAlex concept tags include "econometrics, bayesian probability, mathematics, artificial intelligence '.

c13: Public author profile is associated with East China University of Science and Technology. Recent work in computational biology includes 'Modeling the mutational dynamics of very short tandem repeats'. Models how very short tandem-repeat sequences in the genome mutate and expand or contract over generations. OpenAlex concept tags include "medicine, chemistry, biology, apoptosis '.

c14: Public author profile is associated with Universität Hamburg. Recent work in quantitative social science and economics includes 'Tree models for covariate-dependent method agreement with repeated measurements in clinical research'. Uses tree models to let Bland-Altman measurement-agreement analysis vary with covariates under repeated clinical measurements. OpenAlex concept tags include "medicine, anesthesia, internal medicine, intensive care medicine '.

c16: Public author profile is associated with Université Claude Bernard Lyon 1. Recent work in quantitative social science and economics includes 'Tree models for covariate-dependent method agreement with repeated measurements in clinical research'. Uses tree models to let Bland-Altman measurement-agreement analysis vary with covariates under repeated clinical measurements. OpenAlex concept tags include "medicine, anesthesia, blood pressure, internal medicine '.

c17: Public author profile is associated with Austin College. Recent work in computational biology includes 'Poisoning the Genome: Targeted Backdoor Attacks on DNA Foundation Models'. Demonstrates targeted backdoor data-poisoning attacks against genomic foundation models trained on DNA sequences. OpenAlex concept tags include "computer science, genome, sequence (biology), dna sequencing '.

c18: Public author profile is associated with United States Naval Research Laboratory. Recent work in computational materials and physics includes 'NLSTEM: Non-local denoising for enhanced 4D-STEM pattern indexing'. A non-local denoising method that improves orientation and phase indexing accuracy in 4D-STEM microscopy patterns. OpenAlex concept tags include "materials science, composite material, metallurgy, computer science '.

c19: Public author profile is associated with Universidade Estadual de Campinas (UNICAMP). Recent work in computational biology includes 'Recent advances in modeling and simulation of biological phenomena in crowded and cellular environments'. Reviews recent simulation methods for biological processes under the macromolecular crowding found inside real cells. OpenAlex concept tags include "chemistry, aedes aegypti, biology, virology '.

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c00：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

criteria: 没有具体关联 只有泛泛的领域相似 有具体共同方向或可用的互补能力 有非常明确的共同工作内容或直接互补

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c01：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c02：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c03：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c04：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c05：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c06：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c07：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c08：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c09：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c10：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c11：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c12：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c13：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c14：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c15：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c16：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c17：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c18：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c19：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补


source: YC batch W2023 founder at Nango. Role: Founder. Founded Nango after seeing first hand how hard it is to build product integrations between SaaS. Previously co-founded Avrios, a B2B SaaS for car fleet management, and grew it to 1000+ customers.

c00: Public author profile is associated with Otto-von-Guericke University Magdeburg. Recent work in ai and machine learning includes 'Tucker Attention: A generalization of approximate attention mechanisms'. Generalizes memory-efficient attention variants like grouped-query and multi-head latent attention via Tucker tensor decomposition. OpenAlex concept tags include "computer science, electroencephalography, climate change, artificial intelligence '.

c01: Public author profile is associated with University of Pittsburgh. Recent work in quantitative social science and economics includes 'A Bayesian Finite Mixture Model Approach for Mixed-type Data Clustering and Variable Selection with Censored Biomarkers'. Bayesian finite-mixture clustering for patient data mixing continuous, categorical, and censored biomarker variables, with built-in variable selection. OpenAlex concept tags include "medicine, internal medicine, disease, intensive care medicine '.

c02: Public author profile is associated with Klox Technologies (Canada). Recent work in quantitative social science and economics includes 'GPU-accelerated Bayesian inference for block-cave mine monitoring via muon tomography'. Speeds up Bayesian inversion of muon-tomography data with GPUs to monitor rock density in block-cave mining. OpenAlex concept tags include "physics, large hadron collider, particle physics, nuclear physics '.

c03:
[person] (@[person]). base in London, United Kingdom; works with @pydantic.

The Pydantic Stack: Pydantic Validation, Pydantic AI and Pydantic Logfire

Representative projects and topics: Data validation using Python type hints; AI Agent Framework, the Pydantic way; A minimal, secure Python interpreter written in Rust for use by AI; AI observability platform for production LLM and agent systems.; Simple, modern and fast file watching and code reload for Python, written in Rust; Dev tools for python.

c04: Public author profile is associated with University of Pittsburgh. Recent work in quantitative social science and economics includes 'A Bayesian Finite Mixture Model Approach for Mixed-type Data Clustering and Variable Selection with Censored Biomarkers'. Bayesian finite-mixture clustering for patient data mixing continuous, categorical, and censored biomarker variables, with built-in variable selection. OpenAlex concept tags include "medicine, internal medicine, cancer, intensive care medicine '.

c05:
[person] (@[person]). works with @NVIDIA.

I like puns.

Representative projects and topics: A modal TUI for tracking home projects, maintenance schedules, appliances, and vendor quotes.; the portable Python dataframe library; Protocol Buffers for the rest of us; Run Numba compiled functions in SQLite; Time everything in IPython; Continuous background code review database for agents, work faster and smarter with accountability for every line of generated code..

c06: Public author profile is associated with Adobe Systems (United States). Recent work in computer vision includes 'OmniRoam: World Wandering via Long-Horizon Panoramic Video Generation'. Generates long-horizon, navigable panoramic video to model persistent, explorable 3D scenes. OpenAlex concept tags include "computer science, artificial intelligence, computer vision, computer graphics (images) '.

c07: Public author profile is associated with Monash University. Recent work in quantitative social science and economics includes 'When Bayes goes bad: Weakly-regularized covariate adjustment leads to a biased estimate of prevalence'. Shows weak regularization in Bayesian covariate-adjusted prevalence estimation from non-random samples can bias the result. OpenAlex concept tags include "econometrics, bayesian probability, mathematics, artificial intelligence '.

c08: Public author profile is associated with Universidade Estadual de Campinas (UNICAMP). Recent work in computational biology includes 'Recent advances in modeling and simulation of biological phenomena in crowded and cellular environments'. Reviews recent simulation methods for biological processes under the macromolecular crowding found inside real cells. OpenAlex concept tags include "chemistry, aedes aegypti, biology, virology '.

c09:
[person] (@[person]). works with @BentoML.

Creating tech content

Representative projects and topics: Unified Model Serving Framework 🍱; Everything you need to know about LLM inference; Claude Code 可运行版; Typescript 类型全修复;企业级可靠性; 安全无毒, lock 文件保真, 可直接 bun i; bun run dev 启动; Sherlock's personal website; Operating LLMs in production; The Modular Platform (includes MAX & Mojo).

Hi there 👋, I am Sherlock.

🔭 I’m currently working on technical content.
Docs, blog posts, case studies, etc. @BentoML.
Maintaining LLM Inference Handbook.
🌱 I’m currently learning AI, machine learning, Kubernetes, and Python.
💬 Ask me about:
Technical content, like docs and blog posts.
Detective novels.
😄 Pronouns: He/His/Him.
⚡ Fun facts:
Big fan of detective novels.
Favorite detectives: Sherlock Holmes, Hercule Poirot, Ellery Queen, Dr. Gideon Fell.
Favorite authors: Arthur Conan Doyle, Agatha Christie, John Dickson Carr.

c10: Public author profile is associated with Royal Adelaide Hospital. Recent work in quantitative social science and economics includes 'When Bayes goes bad: Weakly-regularized covariate adjustment leads to a biased estimate of prevalence'. Shows weak regularization in Bayesian covariate-adjusted prevalence estimation from non-random samples can bias the result. OpenAlex concept tags include "medicine, psychology, computer science, nursing '.

c11: Public author profile is associated with Columbia University. Recent work in quantitative social science and economics includes 'When Bayes goes bad: Weakly-regularized covariate adjustment leads to a biased estimate of prevalence'. Shows weak regularization in Bayesian covariate-adjusted prevalence estimation from non-random samples can bias the result. OpenAlex concept tags include "mathematics, computer science, statistics, econometrics '.

c12: Public author profile is associated with NewYork–Presbyterian Hospital. Recent work in quantitative social science and economics includes 'When Bayes goes bad: Weakly-regularized covariate adjustment leads to a biased estimate of prevalence'. Shows weak regularization in Bayesian covariate-adjusted prevalence estimation from non-random samples can bias the result. OpenAlex concept tags include "medicine, internal medicine, chemistry, biology '.

c13: Public author profile is associated with Humboldt-Universität zu Berlin. Recent work in computational materials and physics includes 'Molecular beam epitaxy of wafer-scale O-band InAs/InGaAs quantum dots on GaAs for quantum photonics'. Grows wafer-scale, electrically tunable O-band InAs/InGaAs quantum dots on GaAs by molecular beam epitaxy for quantum photonics. OpenAlex concept tags include "biology, gene, genetics, zoology '.

c14: Recent work in ai and machine learning includes 'Think Anywhere in Code Generation'. Lets a reasoning LLM interleave thinking throughout code generation instead of only reasoning upfront. OpenAlex concept tags include "biology, chemistry, environmental science, oceanography '.

c15: Public author profile is associated with Erasmus MC. Recent work in computer vision includes 'SurgNavAR: An Augmented Reality Surgical Navigation Framework for Optical See-Through Head Mounted Displays'. An augmented-reality surgical navigation system that overlays preoperative 3D imaging via optical see-through headsets. OpenAlex concept tags include "medicine, computer science, computer vision, artificial intelligence '.

c16: Public author profile is associated with Indian Institute of Technology Kharagpur. Recent work in computational biology includes 'Pan-Cancer Mapping of the Tumor Immune Landscape through Metagene Clustering and Predictive Modeling'. Clusters gene-expression metagenes across cancer types to map tumor immune profiles and predict patient outcomes. OpenAlex concept tags include "computer science, mathematics, physics, artificial intelligence '.

c17: Public author profile is associated with Universität Hamburg. Recent work in quantitative social science and economics includes 'Tree models for covariate-dependent method agreement with repeated measurements in clinical research'. Uses tree models to let Bland-Altman measurement-agreement analysis vary with covariates under repeated clinical measurements. OpenAlex concept tags include "medicine, anesthesia, internal medicine, intensive care medicine '.

c19: Public author profile is associated with The University of Texas at Austin. Recent work in computational biology includes 'Poisoning the Genome: Targeted Backdoor Attacks on DNA Foundation Models'. Demonstrates targeted backdoor data-poisoning attacks against genomic foundation models trained on DNA sequences. OpenAlex concept tags include "genome, artificial intelligence, sliding window protocol, data mining '.

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c00：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

criteria: 没有具体关联 只有泛泛的领域相似 有具体共同方向或可用的互补能力 有非常明确的共同工作内容或直接互补

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c01：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c02：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c03：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c04：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c05：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c06：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c07：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c08：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c09：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c10：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c11：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c12：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c13：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c14：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c15：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c16：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c17：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c18：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c19：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补


source: YC batch W2024 founder at Sonauto. Role: Founder. Studied Computer Science (focus: ML) and History at Cornell. Previously worked on core engineering teams at early and growth stage AI and creator economy startups.

c00: Public author profile is associated with Universität Innsbruck. Recent work in quantitative social science and economics includes 'Tree models for covariate-dependent method agreement with repeated measurements in clinical research'. Uses tree models to let Bland-Altman measurement-agreement analysis vary with covariates under repeated clinical measurements. OpenAlex concept tags include "computer science, econometrics, statistics, mathematics '.

c01: Public author profile is associated with Pennsylvania State University. Recent work in quantitative social science and economics includes 'A Unified Framework for Nonlinear Mediation Analysis of Random Objects'. Extends mediation analysis to non-Euclidean data like distributions, images, and networks using a nonlinear geometric framework. OpenAlex concept tags include "mathematics, computer science, statistics, algorithm '.

c02: Public author profile is associated with Erasmus MC. Recent work in computer vision includes 'SurgNavAR: An Augmented Reality Surgical Navigation Framework for Optical See-Through Head Mounted Displays'. An augmented-reality surgical navigation system that overlays preoperative 3D imaging via optical see-through headsets. OpenAlex concept tags include "augmented reality, medicine, computer science, artificial intelligence '.

c03: Public author profile is associated with Erasmus MC. Recent work in computer vision includes 'SurgNavAR: An Augmented Reality Surgical Navigation Framework for Optical See-Through Head Mounted Displays'. An augmented-reality surgical navigation system that overlays preoperative 3D imaging via optical see-through headsets. OpenAlex concept tags include "medicine, augmented reality, computer science, artificial intelligence '.

c04: Public author profile is associated with University of Würzburg. Recent work in computational materials and physics includes 'Molecular beam epitaxy of wafer-scale O-band InAs/InGaAs quantum dots on GaAs for quantum photonics'. Grows wafer-scale, electrically tunable O-band InAs/InGaAs quantum dots on GaAs by molecular beam epitaxy for quantum photonics. OpenAlex concept tags include "quantum dot, physics, photon, quantum '.

c05:
[person] (@[person])

Full-Time Open-Sourcerer. Focused on Swift & JavaScript. Makes macOS apps, CLI tools, npm packages.

Representative projects and topics: A collection of essential TypeScript types; 🌳 Tiny & elegant JavaScript HTTP client based on the Fetch API; 😎 Awesome lists about all kinds of interesting topics; 🤖 Awesome list for ChatGPT — an artificial intelligence chatbot developed by OpenAI; ⌨ Add user-customizable global keyboard shortcuts (hotkeys) to your macOS app in minutes; 💾 Swifty and modern UserDefaults.

i love code** **and unicorns

check out my latest app: Supercharge

and my latest blog post

c06:
[person] (@[person]). base in ABQ.

Lead developer on @sympy. Doing math and Python.

Representative projects and topics: A Python REPL the way I like it; The git workflow for contributing to open source repositories.; A collection of a bunch of my .files; Tool to automatically replace 'import *' in Python files with explicit imports; A computer algebra system written in pure Python.; Symbolic representation of matrix multiplication decompositions from Google DeepMind's AlphaEvolve paper.

c07: Recent work in computational materials and physics includes 'Learning the Exact Flux: Neural Riemann Solvers with Hard Constraints'. Trains a neural network to approximate exact Riemann-problem fluxes for Godunov-type computational fluid dynamics solvers. OpenAlex concept tags include "storm, computer science, meteorology, shallow water equations '.

c08: Public author profile is associated with Technische Universität Berlin. Recent work in computational biology includes 'Recent advances in modeling and simulation of biological phenomena in crowded and cellular environments'. Reviews recent simulation methods for biological processes under the macromolecular crowding found inside real cells. OpenAlex concept tags include "medicine, chemistry, materials science, biology '.

c09: Public author profile is associated with University of Bari Aldo Moro. Recent work in quantitative social science and economics includes 'Violence Against Women: a pilot study on the perception of Apulian High school students'. A pilot survey of how Apulian high-school students perceive violence against women. OpenAlex concept tags include "biology, statistics, geography, ecology '.

c10: Public author profile is associated with University of Bari Aldo Moro. Recent work in quantitative social science and economics includes 'Violence Against Women: a pilot study on the perception of Apulian High school students'. A pilot survey of how Apulian high-school students perceive violence against women. OpenAlex concept tags include "mathematics, statistics, geography, ecology '.

c11: Public author profile is associated with Klox Technologies (Canada). Recent work in quantitative social science and economics includes 'GPU-accelerated Bayesian inference for block-cave mine monitoring via muon tomography'. Speeds up Bayesian inversion of muon-tomography data with GPUs to monitor rock density in block-cave mining. OpenAlex concept tags include "physics, large hadron collider, particle physics, nuclear physics '.

c12: Public author profile is associated with Tianjin Hospital. Recent work in computational materials and physics includes 'A Precision Emulation Approach to the GPU Acceleration of Ab Initio Electronic Structure Calculations'. Emulates double-precision arithmetic with INT8 GPU operations to speed up first-principles electronic-structure calculations. OpenAlex concept tags include "computer science, geology, cloud computing, artificial intelligence '.

c13: Public author profile is associated with Weizmann Institute of Science. Recent work in computational biology includes 'Modeling the mutational dynamics of very short tandem repeats'. Models how very short tandem-repeat sequences in the genome mutate and expand or contract over generations. OpenAlex concept tags include "biology, stem cell, computational biology, genetics '.

c14: Recent work in ai and machine learning includes 'Think Anywhere in Code Generation'. Lets a reasoning LLM interleave thinking throughout code generation instead of only reasoning upfront. OpenAlex concept tags include "artificial intelligence, generative model, algorithm, algebra over a field '.

c15: Public author profile is associated with Georgia Institute of Technology. Recent work in computational materials and physics includes 'NLSTEM: Non-local denoising for enhanced 4D-STEM pattern indexing'. A non-local denoising method that improves orientation and phase indexing accuracy in 4D-STEM microscopy patterns. OpenAlex concept tags include "medicine, chemistry, physics, biology '.

c16: Public author profile is associated with Schott (Germany). Recent work in computational materials and physics includes 'Molecular beam epitaxy of wafer-scale O-band InAs/InGaAs quantum dots on GaAs for quantum photonics'. Grows wafer-scale, electrically tunable O-band InAs/InGaAs quantum dots on GaAs by molecular beam epitaxy for quantum photonics. OpenAlex concept tags include "quantum dot, photon, optoelectronics, physics '.

c17: Recent work in quantitative social science and economics includes 'Longest weakly increasing subsequences of discrete random walks on the integers with heavy tailed distribution of increments'. Analyzes the length of longest weakly increasing subsequences in random walks whose step sizes follow a heavy-tailed distribution. OpenAlex concept tags include "poisson distribution, statistics, statistical physics, random variable '.

c18: Public author profile is associated with Weizmann Institute of Science. Recent work in computational biology includes 'Modeling the mutational dynamics of very short tandem repeats'. Models how very short tandem-repeat sequences in the genome mutate and expand or contract over generations. OpenAlex concept tags include "biology, gene, genetics, computational biology '.

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c00：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

criteria: 没有具体关联 只有泛泛的领域相似 有具体共同方向或可用的互补能力 有非常明确的共同工作内容或直接互补

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c01：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c02：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c03：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c04：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c05：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c06：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c07：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c08：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c09：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c10：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c11：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c12：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c13：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c14：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c15：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c16：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c17：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c18：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c19：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补


source: YC batch W2020 founder at PostHog. Role: Founder. Co-founder at PostHog.

c00: Public author profile is associated with Guangdong Food and Drug Vocational College. Recent work in computer vision includes 'Benchmarking PhD-Level Coding in 3D Geometric Computer Vision'. Benchmarks how well AI coding models handle graduate-level 3D geometric computer-vision programming tasks. OpenAlex concept tags include "elevator, engineering, operating system, epistemology '.

c01: Public author profile is associated with Technical University of Munich. Recent work in quantitative social science and economics includes 'Tree models for covariate-dependent method agreement with repeated measurements in clinical research'. Uses tree models to let Bland-Altman measurement-agreement analysis vary with covariates under repeated clinical measurements. OpenAlex concept tags include "medicine, internal medicine, computer science, biology '.

c02: Recent work in ai and machine learning includes 'Quantifying Cross-Modal Interactions in Multimodal Glioma Survival Prediction via InterSHAP: Evidence for Additive Signal Integration'. Uses InterSHAP to test whether multimodal glioma survival prediction truly gains from cross-modal interaction, not just additive signals.

c03:
[person] (@[person]). works with Dagster Labs.

@dagster-io, @illinois

Representative projects and topics: An orchestration platform for the development, production, and observation of data assets.; july; An encrypted messenger application for Android devices; Sling is a CLI tool that extracts data from a source storage/database and loads it in a target storage/database.; Get started with dbt in less than 1 minute from `git clone` to `dbt docs serve` for free!; The Python Package Index.

c04: Recent work in computer vision includes 'Benchmarking PhD-Level Coding in 3D Geometric Computer Vision'. Benchmarks how well AI coding models handle graduate-level 3D geometric computer-vision programming tasks. OpenAlex concept tags include "computer science, artificial intelligence, computer vision, machine learning '.

c05: Public author profile is associated with University College Dublin. Recent work in ai and machine learning includes 'Meteorology-Driven GPT4AP: A Multi-Task Forecasting LLM for Atmospheric Air Pollution in Data-Scarce Settings'. A multi-task LLM that uses meteorological inputs to forecast air pollution in regions with sparse monitoring data. OpenAlex concept tags include "computer science, artificial intelligence, environmental science, meteorology '.

c06: Public author profile is associated with Schott (Germany). Recent work in computational materials and physics includes 'Molecular beam epitaxy of wafer-scale O-band InAs/InGaAs quantum dots on GaAs for quantum photonics'. Grows wafer-scale, electrically tunable O-band InAs/InGaAs quantum dots on GaAs by molecular beam epitaxy for quantum photonics. OpenAlex concept tags include "physics, materials science, optoelectronics, optics '.

c07: Public author profile is associated with Universitätsklinikum Aachen. Recent work in computational materials and physics includes 'Molecular beam epitaxy of wafer-scale O-band InAs/InGaAs quantum dots on GaAs for quantum photonics'. Grows wafer-scale, electrically tunable O-band InAs/InGaAs quantum dots on GaAs by molecular beam epitaxy for quantum photonics. OpenAlex concept tags include "biology, computer science, genetics, gene '.

c08: Public author profile is associated with Tianjin University. Recent work in computational materials and physics includes 'A Precision Emulation Approach to the GPU Acceleration of Ab Initio Electronic Structure Calculations'. Emulates double-precision arithmetic with INT8 GPU operations to speed up first-principles electronic-structure calculations. OpenAlex concept tags include "chemistry, materials science, nanotechnology, physics '.

c09: Recent work in quantitative social science and economics includes 'GPU-accelerated Bayesian inference for block-cave mine monitoring via muon tomography'. Speeds up Bayesian inversion of muon-tomography data with GPUs to monitor rock density in block-cave mining. OpenAlex concept tags include "computer science, linguistics, geography, archaeology '.

c10: Public author profile is associated with Wuhan University of Technology. Recent work in computer vision includes 'Conditional Polarization Guidance for Camouflaged Object Detection'. Uses polarization cues, conditioned on scene context, to help detect objects camouflaged against their background. OpenAlex concept tags include "medicine, materials science, physics, computer science '.

c11: Public author profile is associated with Shanghai University. Recent work in computer vision includes 'OmniRoam: World Wandering via Long-Horizon Panoramic Video Generation'. Generates long-horizon, navigable panoramic video to model persistent, explorable 3D scenes. OpenAlex concept tags include "biology, computer science, artificial intelligence, gene '.

c12: Public author profile is associated with Otto-von-Guericke University Magdeburg. Recent work in ai and machine learning includes 'Tucker Attention: A generalization of approximate attention mechanisms'. Generalizes memory-efficient attention variants like grouped-query and multi-head latent attention via Tucker tensor decomposition. OpenAlex concept tags include "computer science, electroencephalography, climate change, artificial intelligence '.

c13:
[person] (@[person]). base in Berkeley.

🏍 🛣 🌎 I miss _why.

Representative projects and topics: Give your JS App some Backbone with Models, Views, Collections, and Events; JavaScript's utility _ belt; Unfancy JavaScript; Literate Programming can be Quick and Dirty.; Code as Art, Art as Code. Processing and Ruby are meant for each other.; A TextMate Bundle for CoffeeScript.

{"message":"Moved Permanently","url":"

c14: Public author profile is associated with University of Pittsburgh. Recent work in quantitative social science and economics includes 'A Bayesian Finite Mixture Model Approach for Mixed-type Data Clustering and Variable Selection with Censored Biomarkers'. Bayesian finite-mixture clustering for patient data mixing continuous, categorical, and censored biomarker variables, with built-in variable selection. OpenAlex concept tags include "medicine, internal medicine, cancer, intensive care medicine '.

c15:
[person] (@[person]). base in Cambridge, MA.

Engineering @langchain-ai

Representative projects and topics: The agent engineering platform; Build resilient language agents as graphs.; Agent harness built with LangChain and LangGraph. Equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - well-equipped to handle complex agentic tasks.; 🦜🔗 Docs for LangChain projects; Webhook trigger option for LangSmith's Fleet; ID vinyl records with Computer Vision & fetch metadata for radio DJs.

c16: Recent work in ai and machine learning includes 'Think Anywhere in Code Generation'. Lets a reasoning LLM interleave thinking throughout code generation instead of only reasoning upfront. OpenAlex concept tags include "artificial intelligence, generative model, algorithm, algebra over a field '.

c17: Public author profile is associated with University of Salento. Recent work in quantitative social science and economics includes 'Violence Against Women: a pilot study on the perception of Apulian High school students'. A pilot survey of how Apulian high-school students perceive violence against women. OpenAlex concept tags include "medicine, biology, mathematics, computer science '.

c18: Public author profile is associated with Pennsylvania State University. Recent work in quantitative social science and economics includes 'A Unified Framework for Nonlinear Mediation Analysis of Random Objects'. Extends mediation analysis to non-Euclidean data like distributions, images, and networks using a nonlinear geometric framework. OpenAlex concept tags include "mathematics, computer science, statistics, algorithm '.

c19: Public author profile is associated with Georgia Institute of Technology. Recent work in computational materials and physics includes 'NLSTEM: Non-local denoising for enhanced 4D-STEM pattern indexing'. A non-local denoising method that improves orientation and phase indexing accuracy in 4D-STEM microscopy patterns. OpenAlex concept tags include "medicine, chemistry, physics, biology '.

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c00：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

criteria: 没有具体关联 只有泛泛的领域相似 有具体共同方向或可用的互补能力 有非常明确的共同工作内容或直接互补

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c01：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c02：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c03：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c04：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c05：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c06：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c07：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c08：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c09：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c10：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c11：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c12：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c13：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c14：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c15：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c16：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c17：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c18：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

type: score

instructions: 只比较 on.source 与 ctx[0].candidates.c19：双方职业、研究、技能或资源存在多强的具体关联，值得进一步交流或协作？依据这两份材料中的实际内容，区分泛泛相似与具体共同方向、互补能力；不得编造经历、意愿或已发生的合作。同批其他候选是独立问题，不作为这个候选的证据。

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补

有具体共同方向或可用的互补能力

有非常明确的共同工作内容或直接互补