Stephen Ra
Visiting Scholar, Global AI Frontier Lab at New York University
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolStephen Ra is a visiting scholar and AI leader with 11 years of experience building generative models and applied ML systems to accelerate therapeutic discovery. He has led and scaled ML teams across industry and startups, including founding-member engineering leadership at Prescient Design and senior research and product roles at Genentech and Pfizer where his work contributed to real-world drug programs such as Paxlovid’s lead optimization. His expertise sits at the interface of statistics, machine learning, and molecular design, with a track record of translating frontier algorithms—like function-guided protein design and lab-in-the-loop frameworks—into deployed discovery platforms. Based in New York, he blends academic rigor (PhD-level quantitative training) with product-focused execution across R&D pipelines. Notably, he has repeatedly moved from research prototypes to organizational acquisition and integration, signaling both technical depth and strategic impact.
11 years of coding experience
6 years of employment as a software developer
Ph.D. Statistics Computer Science, Ph.D. Statistics Computer Science at University of California, DavisB.A. Computer Science Biological Sciences, B.A. Computer Science Biological Sciences at Cornell UniversityM.A. Computer Science Statistics, M.A. Computer Science Statistics at Columbia University
Github Skills (24)
medicine10
genomics10
generative9
bayesian-methods8
deep-learning8
graph8
structural-biology7
pytorch7
probabilistic-programming7
statistics7
machine-learning7
probabilistic7
proteins7
python7
tensorflow5
Programming languages (3)
Github contributions (5)
stephenra/stephenra.github.io
May 2019 - Jan 2023
Contributions:99 commits, 30 pushes in 3 years 8 months
stephenra/deep-review
Jan 2018 - Apr 2018
Contributions:8 pushes, 2 branches in 3 months
precision-medicinedeep-learningmachine-learninggenomicsreview
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