Industrial engineering, operations research, and systems engineering are fields of study intended for individuals who are interested in analyzing and formulating abstract models of complex systems with the intention of improving system performance. Unlike traditional disciplines in engineering and the mathematical sciences, the fields address the role of the human decision-maker as key contributor to the inherent complexity of systems and primary benefactor of the analyses.
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Ethan is a fourth year Ph.D Student in Statistics in the department of Industrial and Systems Engineering. He is currently building models to quantify the risk and compare the survival of patients receiving an organ transplant from 'high risk' donors, versus remaining on the waiting list. Ethan is also working on embedding these methods into intuitive decision support tools to assist patients in their decision making process. Moreover, he is investigating ways of using machine learning and simulation to improve the matching system for organ donors and receivers.
Ethan won first place for the INFORMS 2017 poster competition.
Other projects he has worked on are:
Building models to predict if a mortgage loan will default
Pricing financial options using simulation and variance reduction techniques