I particularly enjoy teaching courses that combine theory, applications, and simulations, such as Probability and Statistics, Stochastic Processes, and Data Mining. My research interests are in applied Bayesian statistics and machine learning.
My other interests include playing card and board games, running with the math faculty, rooting for the Boston sports teams, and recording audiobooks, such as Sherlock Holmes.
- Ph.D., Operations Research, Cornell University, 2013.
- B.S.E., Olin College, 2008.
My career at Alma began in
- Large-Network Travel Time Distribution Estimation for Ambulances. B. Westgate, D. Woodard, D. Matteson, S. Henderson (2016). European Journal of Operational Research, 252:322-333.
- Travel Time Estimation for Emergency Vehicles using Bayesian Data Augmentation. B. Westgate, D. Woodard, D. Matteson, S. Henderson (2013). Annals of Applied Statistics, 7:1139-1161.
- On Island Sequences of Labelings with a Condition at Distance Two. S.S. Adams, A. Trazkovich, D.S. Troxell, B. Westgate (2010). Discrete Applied Mathematics, 158:1-7.
- Vehicle Travel Time Distribution Estimation and Map-Matching via Markov Chain Monte Carlo Methods. B. Westgate (2013). Ph.D. Thesis, Cornell University.
- A Monte Carlo Method for Map-Matching, with GPS Bias Estimation. B. Westgate, D. Woodard, D. Matteson, S. Henderson. In Preparation.
- An Introduction to Data Mining. Alma College, Mathematics and Computer Science Colloquium, 11/3/2015.
- Introduction to Statistical Data Mining. Hope College, Mathematics and Computer Science Colloquium, 10/20/2015.
- Ambulance Travel Time Estimation and Map-Matching using GPS Data. INFORMS Healthcare 2015 (Nashville), 7/29/2015.
- Vehicle Travel Time Distribution Estimation and Map-Matching via Markov chain Monte Carlo Methods. University of Massachusetts Amherst, Statistics Seminar, 2/23/2015.