Jack Davis

Jack Davis is an Assistant Professor at the University of Waterloo, specializing in statistics education and sports analytics. He holds a Teaching Stream appointment within the Faculty of Mathematics. His professional background includes roles as a machine learning post-doctoral fellow at Sportlogiq (focused on NHL hockey analysis) and as a statistical consultant at Big River Analytics. Davis has conducted research on network analysis applications, including disease transmission networks and citation networks in Supreme Court of Canada decisions.

At the University of Waterloo, he co-founded the University of Waterloo Analysis Group for Games and Sports (UWAGGS), which develops tutorials for analyzing and visualizing data across sports like hockey, soccer, lacrosse, horse racing, and eSports. His work emphasizes practical data analysis methodologies for sports performance and decision-making.