I am an Assistant Professor of Statistics at Simon Fraser University and a Visiting Scholar at Harvard University. 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 also work 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, in the recent past my time has been focused solely with AS Roma, where I am currently Director of Analytics.Download my CV
Luke's research focuses on spatial and spatio-temporal modeling, with applications in sports analytics, climate, and structural health.
Reza's research looks at nonparametric modeling applied to econometric problems. He is also interested in Monte Carlo computation.
Andy's research focuses on probabilistic modeling and approximate inference with applications ranging from astronomy to basketball.
Jacob's research focuses on developing statistical and machine learning methods applied to problems in basketball and sports more broadly.
Nate's research focuses on developing statistical and machine learning methods applied to problems in basketball and sports more broadly.
Matt's research focuses on statistics and machine learning applied to quantifying errors and biases in player evaluation in basketball.