Leo Huang

Leo Huang is a data-driven psychology researcher and a Ph.D. candidate at the University of Toronto, focusing on the psychological processes related to social networks and well-being. With five years of experience, they specialize in using advanced data analysis methods, including machine learning and psychometrics, to predict and measure human behavior. Currently, Leo conducts research in Dr. Elizabeth Page-Gould's lab and has led multiple studies, published peer-reviewed papers, and presented findings at international conferences. They have also held roles as a UX researcher at CIBC and a data analyst at Besample, contributing to enhancing user experiences and data integrity in various projects.