Paul Biberstein
PhD Student at University of Pennsylvania
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolPaul Biberstein is a PhD student at the University of Pennsylvania who applies programming languages techniques to GPU-accelerated compilers for differentiable and probabilistic reasoning, with a current emphasis on Datalog. He has nine years of engineering experience spanning research internships and industry roles at Google DeepMind and AWS, where he worked on JAX/Pallas and a verified deep-learning compiler for Trainium. His background includes low-latency C++ systems at Jump Trading and novel few-shot 3D mesh synthesis research from Brown, showing a blend of systems, ML, and PL expertise. A seasoned teaching assistant in compilers and programming languages, he brings both practical production experience and rigorous academic training to bridge theory and high-performance implementations.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Brown UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Pennsylvania
Github Skills (7)
mdp8
simple-framework4
agent4
reinforcement-learning4
python4
q-learning3
gymnasium3
Programming languages (1)
Github contributions (5)
paultouma/NBA_win_prediction
Mar 2019 - Apr 2019
Contributions:6 commits, 5 pushes in 1 month
paultouma/NBAHackathon2017
Aug 2017 - Aug 2018
Contributions:6 pushes, 1 branch in 1 year
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