Chak Tso
Data Scientist
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolChak Tso is a data scientist with eight years of experience applying causal inference, ML, and product analytics to drive monetization and growth for large tech platforms. Currently on App Ads growth at Meta after shaping Play Store product analytics at Google, he combines rigorous experimental design (diff-in-diff, DoubleML, IPSW) with pragmatic data engineering to deliver dashboards and pipelines used by cross-functional teams. His work has directly supported major launches and partnerships, saved hundreds of engineering hours through consolidated monitoring, and introduced new business-facing metrics adopted by executives. Before tech platforms he led applied ML and predictive maintenance efforts in healthcare and industrial settings and earned a PhD studying neural circuits, bridging deep domain science with production-ready modeling. He is comfortable shipping end-to-end solutions—from PyTorch transfer learning and FFT-based signal processing to attribution and cohort causal analysis—and often surfaces non-obvious operational improvements that scale. Based in San Francisco, he blends academic rigor with product impact to turn complex data into decisive business outcomes.
8 years of coding experience
5 years of employment as a software developer
B.S., Major in Molecular Biology, B.S., Major in Molecular Biology at University of Wisconsin-MadisonHigh School Diploma (HKCEE), Biology Stream, High School Diploma (HKCEE), Biology Stream at Queen's College 皇仁書院Doctor of Philosophy (PhD), Neuroscience, Doctor of Philosophy (PhD), Neuroscience at Washington University in St. Louis
Chinese, English, Chinese
Github Skills (4)
bioinformatics6
cran6
genomics6
single-cell-genomics4
Programming languages (2)
Github contributions (5)
tsofoon/circadian
Jun 2020 - Aug 2022
Contributions:9 pushes, 1 branch in 2 years 2 months
tsofoon/wildfire
Jan 2020 - Feb 2020
Contributions:16 commits, 15 pushes, 1 branch in 27 days
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