Summary
Chris Lai is a Senior Data Scientist in the San Francisco Bay Area with nine years of experience applying machine learning, NLP, and data storytelling to reduce harm and drive decisions. Currently at GGWP, he leads efforts to detect and mitigate toxicity in gaming communities, building models and visualizations that translate complex signals into actionable product insights. His background spans healthcare analytics at Glooko—predicting diabetes outcomes and mining free-text notes—to risk automation and regulatory NLP at Morgan Stanley, where he cut reporting time by 80%. A Columbia and UC Berkeley-trained quantitative thinker (MEng operations research), Chris blends rigorous modeling with a communicator’s instinct for narrative, and he often surfaces non-obvious behavioral patterns from messy text and telemetry.
9 years of coding experience
2 years of employment as a software developer
Master of Engineering - MEng, Operations Research, 3.987, Master of Engineering - MEng, Operations Research, 3.987 at University of California, Berkeley
Bachelor's degree, Economics and Statistics, 3.954, Bachelor's degree, Economics and Statistics, 3.954 at Columbia University in the City of New York
Phillips Academy Andover
Chinese, Japanese, Chinese, English