University of British Columbia
Chris Cameron is an MSc student in computer science at the University of British Columbia, jointly supervised by Kevin Leyton-Brown and Holger Hoos. He holds a BSc from Queen's University (2012). He studies problems in empirical algorithms, with a focus on applying machine learning techniques towards solving NP-hard problems. More specifically, he studies the generation of algorithm portfolios through algorithm configuration and methodologies in portfolio-based algorithm selection.
Satisfiability: Theory, Practice, and Beyond , Spring 2021Visiting Graduate Student
Algorithms and Uncertainty , Fall 2016Visiting Graduate Student