Frank Cheng
Research Scientist at Meta
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolFrank Cheng is a research scientist in the San Francisco Bay Area with 12 years of experience applying game theory, control theory, and machine learning to problems at the intersection of networks and finance. Currently at Meta, he develops semi-supervised and reinforcement learning approaches to improve ads ranking under increasing signal loss, building on prior work designing bidding algorithms at Microsoft and hierarchical Bayesian ROI models in industry. His PhD in computer science (University of Michigan) and earlier training in physics and economics (University of Chicago) underpin a quantitative, systems-oriented approach to real-world marketplaces. He has a track record of translating theoretical methods—differential privacy tools at Google and model validation for Basel at Bank of America—into production-ready solutions. Notably, he blends academic rigor (published research and PhD advising lineage) with hands-on deployment experience allocating and optimizing large ad budgets. Frank brings a rare mix of market-focused engineering and formal research skills to tackle robustness challenges in modern ad systems.
12 years of coding experience
7 years of employment as a software developer
Master's degree (terminal), Statistics, Master's degree (terminal), Statistics at University of MichiganB.A, Physics and Economics, B.A, Physics and Economics at University of Chicago
Chinese
Github Skills (5)
python3
statistics3
modeling3
statsmodels3
econometrics2
Github contributions (5)
chengfulun/statsmodels
Mar 2014 - Sep 2014
Contributions:103 commits in 6 months
statisticspythonstatisticalmodelingeconometrics
chengfulun/chengfulun.github.io
Mar 2018 - Jun 2019
Contributions:21 pushes, 1 branch in 1 year 3 months
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