Daniel Hocevar
Faculty Affiliate Researcher @Vector Institute
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WORK HISTORY
Faculty Affiliate Researcher @Vector Institute
Toronto, ON, CA
Accelerating drug discovery with robotics and AI.
EDUCATION
University of Toronto
Master of Science - MS, Computer Science
University of Toronto
Bachelor's degree, Computer Science
Father John Redmond CSS
High School Diploma
ABOUT DANIEL HOCEVAR
Daniel Hocevar is a masters student studying Computer Science at the University of Toronto. With a background in leading and developing early-stage technology startups, Daniel brings a unique product-development perspective to the world of applied-research and software development. He is the co-author of the paper which won the 2023 NFL Big Data Bowl, a co-author of the paper which won the graduate division of the 2023 SMT Data Challenge, and also a co-author of the paper which won the undergraduate division of the 2022 Stathletes Big Data Cup. Daniel got his start in applied-research when he introduced the first widely accessible analytics tool for curling coaches in 2018. During his undergrad, he served as an executive with the rapidly growing University of Toronto Sports Analytics Student Group, playing a pivotal role in establishing the club as a leader in sports analytics research. In addition to his technical pursuits, Daniel served as the captain of the University of Toronto men’s curling team during his time as a varsity athlete, and currently competes as an athlete on the World Curling Tour.
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