Ethan Mark


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