I am an Assistant Professor of Statistics at Simon Fraser University and Vice President, Strategy and Analytics at the Sacramento Kings. My academic research is focused on developing statistics and machine learning methods for high dimensional spatio-temporal data, with a primary focus on extracting insights from player tracking data in sports. By way of background, I completed my PhD at UBC under the co-supervison of Arnaud Doucet and Jim Zidek in 2012, then subsequently spent a few years on the tenure-track in the Harvard Statistics Department before returning to Vancouver via Simon Fraser.
In addition to my academic work, I have also worked closely with sports teams, coaches, athletes, and sports scientists to measure and evaluate athletes, strategy, and performance. While I have worked with teams spanning numerous professional sports since completing my PhD, I most recently worked with AS Roma, where I was Head of Analytics.Download my CV
Luke's research focuses on spatial and spatio-temporal modeling, with applications in sports analytics and beyond.
Andy's research focuses on probabilistic modeling and approximate inference with applications ranging from astronomy to basketball.
Patrick's research focuses on training load monitoring and athlete wellness measures as they apply to performance and injury.
Jacob's research focuses on developing statistical and machine learning methods applied to problems in basketball and other sports.
Javier's research focuses on quantitative measures to improve our understanding of football tactics and player valuation.
Nate's research focuses on developing statistical and machine learning methods applied to problems in basketball and other sports.
Daniel's research focuses on improving the statistical metrics we use to understand professional athletes' performance.