Felicia Zhang

Felicia Zhang is a data professional with extensive experience in data analysis and scientific research. Currently serving at Parachute Health since June 2021, Felicia previously held roles as a Data Scientist at the Committee of 100 and as a University Data Fellow at Princeton University, where significant contributions included analyzing demographic data and student outcomes, resulting in recommendations for program modifications presented to senior leadership. As a Ph.D. student at Princeton University from 2015 to 2020, Felicia led research on learning methodologies, published three scientific papers, and presented at ten international conferences. Technical skills encompass R, MATLAB, Python, and SQL. Previous roles include Data Scientist Intern at Parachute Health and Data Scientist at Mindprint Learning, where Felicia developed predictive models and visualizations to enhance user experiences and inform business strategies. Education includes a Ph.D. in Psychology from Princeton University and an Honours Bachelor of Science from the University of Toronto.