Ethan W. Che
PhD Student, Columbia Business School
Decision, Risk, and Operations
I am a PhD student at Columbia Business School in the Decision, Risk, and Operations division.
I am advised by Jing Dong
and Hongseok Namkoong.
My research is on differentiable simulation for reinforcement learning (RL), with applications in large-scale decision-making problems in operations research.
In particular, I've developed new algorithmic learning approaches in the domains of (1) bandit exploration and adaptive learning
and (2) scheduling in discrete-event systems. My work uses tools from control theory, RL, gradient estimation, and stochastic modeling.
I worked as an ML engineer intern at Instacart in Spring 2023 working on causal machine learning. In Summer 2024, I was an ML Research intern at Netflix working on bandit exploration and uncertainty quantification.
