Summary
Yishu Wei is a research scientist and machine learning engineer with 9 years of experience, currently building production ML systems for Facebook's Ads Core in the New York City metropolitan area. With a PhD in Statistics from Northwestern University, she blends rigorous statistical thinking with strong software engineering to turn data into scalable products. Her work spans end-to-end ML—from model development to deployment in large-scale ad measurement and optimization pipelines. She has hands-on experience across academia and industry, including a Kellogg research assistant role that explored jump-risk modeling with high-frequency data, and a machine learning internship focused on ads measurement. This unique combination enables her to bridge data science and product teams, delivering data-driven features that impact user experience and revenue. Outside of production ML, she maintains a curiosity-driven approach to learning and applying advanced statistical methods to real-world systems.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.S.), Mathematics and applied mathematics, Bachelor of Science (B.S.), Mathematics and applied mathematics at Fudan University
High School Affiliated to Fudan University
Doctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at Northwestern University
English, Chinese, Shanghainese