Wesley’s research interest lies at the intersection of operations research and statistics with an emphasis on stochastic simulation and optimization to support decision-making in practice. His current research addresses healthcare applications from a population and patient perspective. From a population point of view, he focuses on modeling future supply, demand, and allocation of organs for transplantation. From a patient perspective, he develops personalized treatment plans and testing strategies for cardiovascular diseases. Wesley has an ongoing collaboration with the University of Michigan Hospital Medical School, the School of Public Health at the University of Michigan, and the U.S. Department of Veterans Affairs.
Wesley is a recipient of the National Science Foundation Graduate Research Fellowship. Over the course of his PhD studies, he has also received an American Statistical Association sponsored best poster award at the Michigan Student Symposium for Interdisciplinary Statistical Sciences, an honorable mention in the Minority Issues forum from the Institute for Operations Research and the Management Sciences, as well as a Rackham Merit Fellowship. In addition to his PhD in Industrial and Operations Engineering, Wesley is partaking in the dual master’s program offered by the Department of Statistics at the University of Michigan.
Academic Advisor: Mariel S. Lavieri
Dissertation Committee: Eunshin Byon, David Hutton, Ambuj Tewari, Neehar Parikh, and Rodney Hayward
Position sought: Academic, Industry
Availability: December 2020
Dynamic Programming, Approximate Dynamic Programming, Machine Learning, Multiple Comparisons, Behavioral Operations Research, Medical Decision Making, Health Policy
Student Lecturer (Winter 2018): IOE 202 – Operations Modeling
Graduate Student Instructor (Fall 2016, Winter 2017): IOE 265 – Probability and Statistics for Engineers