Clara Wong-fannjiang
Senior Machine Learning Scientist at Genentech
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolClara Wong-fannjiang is a Senior Machine Learning Scientist at Genentech with a decade of experience applying rigorous ML research to scientific problems, especially in drug discovery and clinical decision-making. She earned a PhD from UC Berkeley where she developed data-driven design methods under Jennifer Listgarten and Michael Jordan, and previously contributed to Google Brain and several high-impact academic labs. Her current focus on uncertainty quantification aims to make AI-guided scientific inquiry more trustworthy and decision-ready, bridging methodological innovation with real-world biomedical constraints. Past work spans recurrent network regularization, matrix decomposition for neural data, and biologging field experiments—highlighting a rare blend of theoretical depth and hands-on experimental design. Based in San Francisco, she maintains an academic-to-industry trajectory that consistently couples principled research with practical deployment in life sciences.
11 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at UC Berkeley Electrical Engineering & Computer Sciences (EECS)Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Stanford University
English
Github Skills (10)
statistics8
modeling8
science8
ai7
artificial-intelligence7
machine-learning7
jupyter5
data-science4
inference3
jekyll3
Programming languages (2)
Github contributions (5)
clarafy/conformal-for-design
Nov 2021 - Oct 2022
Contributions:52 commits, 2 PRs, 26 pushes in 11 months
ds-102/fa20
Jul 2020 - Dec 2020
UC Berkeley Data 102 Fall 2020 Website & Materials
Contributions:108 commits, 104 pushes, 2 branches in 4 months
data-scienceinfernecejupytermodelinguc-berkeley
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