Luca Weihs
Co-Founder at Vercept
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolLuca Weihs is a PhD-trained research scientist and entrepreneur with 15 years of experience at the intersection of statistical theory, machine learning, and embodied AI. As co-founder of stealth startup Vercept and former Research Manager at the Allen Institute for AI, he led the AI2-THOR team building visual AI environments and advanced research in deep reinforcement learning, representation learning from interaction, causality, and algebraic statistics. His contributions to the open-source ai2thor platform include physics engine and agent controller work that supported image synthesis and data generation for visual agents. A former University of Washington statistics doctoral student and UC Berkeley mathematics valedictorian, he pairs rigorous theoretical foundations with hands-on engineering across Python, C++, and large-scale ML pipelines. Known for shipping reproducible research and tools, he blends academic publication impact with product-focused system design.
15 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Statistics, Doctor of Philosophy (PhD) Statistics at University of WashingtonBA Mathematics, BA Mathematics at University of California, Berkeley
Github Skills (8)
physics-engine10
computer-vision10
csharp10
dotnet-core10
unity3d10
aiml6
ai6
ml6
Programming languages (8)
Github contributions (5)
allenai/ai2thor
Sep 2018 - Dec 2022
An open-source platform for Visual AI.
Role in this project:
Back-end Developer & AI Engineer
Back-end Developer & AI EngineerContributions:1 release, 218 reviews, 494 commits in 4 years 4 months
Contributions summary:Luca's contributions primarily involved adding new functionality to the physics engine scenes and integrating metadata, suggesting work on core components of the platform. The code changes also included modifications to agent controllers, indicating a focus on enhancing agent behavior and interaction within the visual AI environment. Furthermore, the modifications of the code around the image synthesis suggests that the user was involved in the creation of images and perhaps related to data generation.
physics-engineinteractioncomputer-visionvisual-aiartificial-intelligence
cran/TauStar
Oct 2015 - Mar 2019
Contributions:4 commits in 3 years 5 months
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