Summary
Xiaoman Luo is a Senior Data Scientist blending econometrics and causal inference with hands-on production modeling. With a PhD in Agricultural and Resource Economics and an MPP in regional economic development, she operates at the intersection of rigorous research and scalable ML, having contributed to a double-robust estimator for heterogeneous treatment effects in panel data in collaboration with Nobel Laureate Guido Imbens. At Afiniti, she built statistical models for treatment effect estimation and optimized customer-agent matching, translating theory into measurable business impact. She has driven data initiatives across leading tech environments, most recently joining Roblox as a Senior Data Scientist, after a stint at Instacart and Afiniti. Based in the Palo Alto area, she leverages a strong academic foundation and practical experience to design robust causal analyses that inform product and growth strategies. Her career path—from academia to high-scale data science in consumer tech—demonstrates her ability to translate complex econometric concepts into concrete, data-driven decisions.
7 years of coding experience
9 years of employment as a software developer
PhD, Agricultural and Resource Economics, PhD, Agricultural and Resource Economics at University of California, Davis
Bachelor of Arts - BA, Finance, General, Bachelor of Arts - BA, Finance, General at Nanjing University
Master of public policy, Regional economic development, Master of public policy, Regional economic development at University of California, Los Angeles
English, Chinese