Summary
Lin Wang is a Director of Data Science with 11 years in industry ML/analytics and a prior 8-year academic career in behavioral genetics, combining rigorous statistical foundations with product-focused machine learning. She has led high-impact personalization and pricing systems at Microsoft, ThriftBooks, and Chartboost, including a recommender that delivered over $40M annual revenue and patented adaptive reward methods. Skilled across forecasting, deep learning, metric design, and production ML tooling (Python, PySpark, TensorFlow, Airflow, Azure/GCP), she engineers end-to-end solutions from data pipelines to online learning. Lin also brings uncommon cross-domain fluency—applying genomics-scale statistical thinking to ad auctions, inventory optimization, and dynamic pricing—alongside experience building simulation and evaluation frameworks to de-risk model deployment. Based in Redmond, she balances pragmatic business impact with a mission to make systems more efficient and humane through analytics and AI.
11 years of coding experience
21 years of employment as a software developer
Doctor of Philosophy (PhD) Sociology, Doctor of Philosophy (PhD) Sociology at University of North Carolina at Chapel Hill
English, Chinese