Jeffrey Wong
Senior Staff Mathematical Engineer
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolJeffrey Wong is a Senior Staff Mathematical Engineer in San Francisco with 13 years of experience building high-performance statistical software and decision-making systems for companies like Airbnb, Apple, and Netflix. He specializes in computational causal inference, adaptive experimentation, and optimal policy algorithms, and has led efforts that made complex causal models 50–150x faster and reduced data volumes by 100x to enable production-grade experimentation platforms. A horizontal leader and hands-on builder, he blends deep statistical research with systems engineering to democratize advanced analytics across product and operations teams. Jeffrey’s work spans multitouch attribution, bandit-based best-arm identification, and quantile/time-varying treatment effects, reflecting a rare combination of game-theory-informed modeling and production engineering. He holds MS and BS degrees from Stanford and often advises startups and speaks on incrementality and rigorous measurement in programmatic advertising.
13 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Statistics, Master of Science - MS, Statistics at Stanford University
Github Skills (129)
regression10
gradient10
linear-models10
mixed-models10
science10
julia10
statistical-models10
machine-learning10
portable9
imputation9
julialang9
statistics9
root-finding9
scalable9
dataflow9
Programming languages (8)
Github contributions (5)
jeffwong/fastVAR
Aug 2012 - Jan 2013
Contributions:62 commits in 5 months
r-packageautoregressionvectorvector-autoregression
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