Summary
Zhengxin Lang is a Senior Data Scientist with nine years of experience applying causal inference, forecasting, and multi-objective optimization to digital advertising and large-scale measurement problems. Currently at TikTok USDS, he focuses on ads signal integrity and user behavior analytics, building evaluation and attribution frameworks that guide targeting strategies. Previously at Amazon he delivered production ML systems—ranging from delivery prediction models that addressed censored, non‑IID data to time-series forecasts and Pareto-frontier optimizers—driving measurable improvements in AUC, MAPE, and campaign costs. He holds a PhD from the University of Washington and brings a strong research background in robust optimization and policy-impact forecasting from environmental science projects. Zhengxin’s strength is turning ambiguous business questions into rigorous, operationalized analytics pipelines that teams can act on. Less obvious: he combines academic rigor in environmental modeling with practical engineering at scale, letting him spot and correct subtle statistical issues (e.g., Simpson’s Paradox) that routinely mislead product metrics.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Environmental Science, Doctor of Philosophy - PhD, Environmental Science at University of Washington
Bachelor's degree, Natural Resource Economics, Bachelor's degree, Natural Resource Economics at Beijing Forestry University