Ji Park
Machine Learning Scientist at Genentech
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolJi Park is a machine learning scientist with a decade of research and applied experience, currently driving frontier ML work at Prescient Design within Genentech. Trained as a physicist (PhD, Stanford) with a dual B.S. in physics and mathematics from Duke, Ji blends deep scientific rigor with practical ML engineering developed through internships at NASA Ames and extended research at SLAC and the Flatiron Institute. Their work spans foundational modeling and domain-specific applications in biotech, where they translate complex data and simulation workflows into usable ML solutions. Colleagues know Ji for bridging academic research and product-focused teams, often tackling problems that require both high-performance computing and probabilistic modeling. Despite a busy schedule that limits direct outreach, Ji remains active in cross-disciplinary collaborations across the Bay Area life-science and computational research community.
10 years of coding experience
Bachelor of Science (B.S.), Physics, Mathematics, Bachelor of Science (B.S.), Physics, Mathematics at Duke UniversityDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Stanford University
English, Korean
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (51)
cosmology10
hierarchical10
astronomy10
modeling10
convergence9
des9
astrophysics9
galaxy9
bayesian9
mining9
capsnet8
simulation8
measurements7
data-set7
training-data7
Programming languages (6)
Github contributions (5)
jiwoncpark/deep-learning-notebooks
Nov 2017 - Mar 2021
Tutorials in various concepts related to deep learning
Contributions:19 commits, 2 PRs, 13 pushes in 3 years 4 months
pytorchcaffe2deep-learningmachine-learningchainer
jiwoncpark/magnificat
Apr 2018 - Aug 2022
Contributions:55 pushes, 2 branches, 2 comments in 4 years 5 months
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