Ye Ye

Ye Ye is a Senior Machine Learning Engineer at Uber, where they develop machine learning models for large-scale pricing optimization problems at UberEats. Previously, they served as a Machine Learning Engineer at Uber and gained experience as a Quantitative Research Intern at GIC, where they focused on trading strategy development. Ye also interned at the Institute for Pure and Applied Mathematics, working on change-point detection in police body-worn video, and was a Summer Associate at Morgan Stanley, analyzing trade flows. They hold a Ph.D. in Management Science and Engineering with a minor in Computer Science from Stanford University and a B.S. and B.A. in Mathematics of Computation and Business Economics from UCLA.