Chen Chen
Co-Founder & Chief Scientist at Studio Atelico
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolChen Chen is a Co-Founder and Chief Scientist based in San Francisco with 12 years of experience building probabilistic and generative AI systems for real-world products, from Instagram-scale research at Meta to self-driving research at Uber AI Labs. He now leads on-device GenAI for video games at Studio Atelico while previously advising medical-insurance clients on retrieval-augmented foundational models. A hands-on researcher and engineer, he has contributed distribution implementations to the widely used Pyro probabilistic programming library, reflecting deep expertise in Bayesian modeling and ML infrastructure. Outside tech he coaches competitive high-school volleyball, a detail that underscores his commitment to team-building and performance under pressure. Although much of his online presence is out of date, he welcomes direct contact to discuss current projects and collaborations.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Science in Engineering (B.S.E) Computer Science, Bachelor of Science in Engineering (B.S.E) Computer Science at University of Pennsylvania
Chinese, French
Github Skills (10)
pytorch10
probability-distribution10
python10
distributions10
tensorflow9
operation9
machine-learning9
tensorrt9
tensor9
unit-testing8
Programming languages (15)
Github contributions (5)
pyro-ppl/pyro
Jun 2017 - Feb 2020
Deep universal probabilistic programming with Python and PyTorch
Role in this project:
ML Engineer
ML EngineerContributions:310 commits, 214 PRs, 380 pushes in 2 years 8 months
Contributions summary:Chen's commits primarily involve the implementation and testing of various probability distributions within the Pyro probabilistic programming library. The commits include the addition of support for discrete distributions, modifications for tensor broadcasting, and the implementation of a Cauchy distribution. The changes focus on enhancing Pyro's capabilities in defining and working with different probability distributions.
pytorchpythondeep-learningbayesian-inferenceprobabilistic-modeling
jpchen/jpchen.github.io
Aug 2016 - Jan 2025
http://www.jonathanpchen.com
Contributions:2 PRs, 60 pushes, 3 branches in 8 years 6 months
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