Summary
Bongsoo Yi is a Research Data Scientist at Google with a Ph.D. in Statistics from UNC Chapel Hill and nine years of hands-on experience applying statistical modeling and machine learning to real-world problems. His work spans optimal-transport network analysis, bandit problems, adversarial deep learning, and predictive modeling—skills honed through research roles, internships at LinkedIn and Quantlab (where he helped craft a long-short strategy with a 23% annual return), and extensive teaching experience. Based in Mountain View, he blends rigorous theoretical foundations (4.0 GPA PhD) with practical production-focused experimentation, including building WAU prediction models for A/B testing at LinkedIn. Notably, his background includes geometric and representation learning research in reinforcement learning and proven expertise in nonparametric and time-series methods from earlier academic projects.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Statistics, Class Rank: 3/31, Bachelor of Science - BS, Statistics, Class Rank: 3/31 at Seoul National University
Sejong Science High School
Doctor of Philosophy - PhD, Statistics and Operations Research, 4.0/4.0, Doctor of Philosophy - PhD, Statistics and Operations Research, 4.0/4.0 at University of North Carolina at Chapel Hill
Korean, English