Clara 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.
10 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
Contributions:52 commits, 2 PRs, 26 pushes in 11 months
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Clara Wong-fannjiang - Senior Machine Learning Scientist at Genentech