I am an Assistant Professor of Statistics at Simon Fraser University and a Visiting Scholar at Harvard University. My research is focused on high dimensional spatio-temporal data, with applications to environmental and climate modeling, optical tracking in sports, and structural health monitoring amongst others. I'm also interested in the corresponding computational problems, mainly in the form of Monte Carlo methods. 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.Download my CV
Luke's research focuses on spatial and spatio-temporal modeling, with applications in sports analytics, climate, and structural health.
Mathieu's research is focused on computational statistics with a special interest in sequential Monte Carlo and Quasi-Monte Carlo.
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.