YJ Choe

TA Advisor (Optum)

YJ Choe is a fifth-year joint Ph.D. student in Statistics and Machine Learning at Carnegie Mellon University, advised by Prof. Aaditya Ramdas. He is broadly interested in statistical machine learning, with a recent focus on sequential inference, game-theoretic statistics, forecast evaluation, and causal inference. Previously, YJ was an industry researcher working on deep learning methods for natural language processing.