Ye Zhou

Ye Zhou possesses extensive experience in computational chemistry and data science, beginning with a Ph.D. from The University of Chicago that focused on developing mathematical models for anisotropic molecular systems. Professional experience includes a graduate researcher role at The Institute for Molecular Engineering and internships at The Marketing Store and Capital One, where predictive modeling and feature engineering were utilized to enhance marketing strategies and customer credit risk predictions, respectively. Currently employed as a data scientist at Meta, Ye Zhou also served as a teaching assistant at The University of Chicago and worked as a research intern at Solvay, focusing on thermosensitive colloidal particles for pharmacological applications. Academic credentials include a Master’s degree from Ecole supérieure de Physique et de Chimie industrielles de la Ville de Paris and a Bachelor’s degree from Peking University, complemented by a Machine Learning Engineer Nanodegree from Udacity.