CHDS Seminar with Wesley Marrero: “Data-Driven Decision Making in Healthcare Applications”

Abstract: The increasing availability of healthcare data has provided a great opportunity to develop data-driven models to guide health policy and medical practice. This talk aims to illustrate new methods that use these data to make better healthcare decisions at a population and patient level. After giving an overview of my team’s work, I will present a modeling framework to consider physicians’ judgment and patients’ preferences in implementing hypertension treatment protocols.

Bio: Professor Marrero’s research interest lies in developing decision-support tools that consider the challenges associated with their implementation in practice, such as inequity, irrational behavior, lack of interpretability, and need for flexibility. To this end, he designs and applies techniques from operations research, statistics, and algorithmic fairness, with an emphasis on simulation and optimization. His current work addresses various application areas, including cardiovascular disease, mental health, opioid use disorder, and organ transplantation.