Primary areas of research are mathematical modeling and statistical learning with applications to human performance and sports. Partnering with faculty and students alike to explore problems such as: 1) Pacing and nutrition strategies for long-distance racing; 2) Route selection for traversing highly variable terrain; 3) Kinematic characteristics of human running stride; 4) Spatial analysis of player positioning and scoring in team sports; 5) Live in-play win probabilities for team sports; 6) Key numbers in sports scoring and their relation to sports betting odds; 7) Hedging in sports trading markets; 8) Data visualization and analysis for grand prix car racing; 9) Individual and team strategy for multi-stage bike racing.
