Run Zhou

Run Zhou possesses extensive experience in data science, product strategy, and mentorship across diverse industries. Currently, Run Zhou is involved with Stealth, in a role focused on innovation, and serves as a mentor at Springboard, guiding students in applied data and machine learning solutions. Previously, Run Zhou worked as an advisor at DeepVu, developing AI/ML products for supply chains, and contributed to growth marketing initiatives at Notion. A significant tenure at Uber included roles as a scientist in growth and performance marketing as well as safety and risk, where Run Zhou led initiatives to optimize marketing strategies and reduce safety risks. Early career experiences include data-related positions at the Department of Biostatistics and Bioinformatics and the University Health Network. Run Zhou holds a Master's in Biostatistics from Duke University and an Honors Bachelor's degree in Applied Mathematics and Statistics from the University of Toronto.