Summary
Yanxia Li is an applied scientist in San Jose with 8 years of experience turning large, noisy datasets into actionable business and product insights. With a PhD in astrophysics, she blends rigorous statistical modeling, custom pipelines, and domain intuition to solve production problems—from deconvolving faint signals in TB-scale astronomical images to deploying Thompson Sampling multi-armed bandits that drove an estimated $20M in incremental gross revenue at Wayfair. Comfortable with Airflow, Spark, Python, SQL, Flask and reinforcement learning, she builds end-to-end systems and reproducible ML workflows in cloud environments. Known for pragmatic experimentation and clear test design, she also brings a strong background in topic modeling and NLP from a deployed Glassdoor-review analysis tool.
8 years of coding experience
9 years of employment as a software developer
Bachelor's degree, Astronomy and Astrophysics, Bachelor's degree, Astronomy and Astrophysics at Beijing Normal University
Master's degree, Astronomy, Master's degree, Astronomy at University of Hawaii at Manoa
Chinese, English