Summary
Yang Li is a data science-focused Ph.D. candidate and applied science researcher with eight years of experience building machine learning and analytics solutions across industry and academia. Based in San Diego, he has combined research at William & Mary D3i Lab with production-oriented internships and roles at Microsoft and Indeed, delivering models from RNN time-series forecasting to ensemble revenue prediction and SQL-optimized analytics. His background spans rigorous academic training (PhD/MS/BS) and hands-on engineering—optimizing queries for Snowflake/Presto, accelerating job-volume estimations 10x, and improving entity expansion precision in NLP research. Notably, he has experience translating prototype research into operational dashboards and tooling for large teams, and he brings a practical bent for reproducible, deployable data science that aids decision-making.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Data Science, Bachelor of Science - BS, Data Science at Halıcıoğlu Data Science Institute, UC San Diego
University of California, San Diego
High School Diploma, High School Diploma at Bishop Alemany High School
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Columbia University
Doctor of Philosophy - PhD, Applied Science (Data Science), Doctor of Philosophy - PhD, Applied Science (Data Science) at William & Mary
Chinese, English