I am an assistant professor in the Decision, Risk, and Operations division at Columbia Business School and a member of the Data Science Institute. My research interests lie at the interface of machine learning and decision-making. I develop robust and reliable methods for data-driven decision making, extending and connecting tools across ML, operations research, and causal inference. Outside of academia, I serve as a LinkedIn Scholar at LinkedIn's Trust and Responsible AI team.
I go by Hong; alternatively, here's a link for the correct pronunciation of my first name. My pronouns are he/him/his.