Ji Won Park
San Francisco, California, United States
Summary
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SeniorJi 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
Github Skills (48)
cosmology10
astronomy10
training-data10
data-set9
hierarchical9
convergence9
astrophysics9
des9
uncertainty-quantification9
galaxy9
bayesian9
mcmc9
modeling9
jupyter-notebook8
capsnet8
Programming languages (6)
Github contributions (5)
jiwoncpark/magnificat
Apr 2018 - Aug 2022
Contributions:55 pushes, 2 branches, 2 comments in 4 years 5 months
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
deep-learningminibatchdeep-learning-tutorialjupyter-notebookbayesian-neural-network
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