Luke Bornn is an assistant professor of statistics at Simon Fraser University whose 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. He also works on the corresponding computational problems, mainly in the form of Monte Carlo methods. Before moving to Simon Fraser, Luke spent three years on the tenure-track in the Harvard Statistics Department, where he created the course STAT183, “Learning from Big Data,” which gives students the hands-on training to understand, model, and predict with modern data sources.
