Yo Joong “YJ” Choe

I am an Assistant Professor of Decision Sciences at INSEAD (resident faculty in Singapore). I am an interdisciplinary researcher with backgrounds in statistics, machine learning, and language modeling. My current research spans (broadly) two distinct topics:

E-values & sequential anytime-valid inference (SAVI): betting on bets (stochastic dominance), combining evidence across filtrations, comparing sequential forecasters
Representation geometry in large language models (LLMs): linear representations, interpretability, model steering, and softmax information geometry [a, b, c]

I hold a joint Ph.D. in Statistics and Machine Learning from Carnegie Mellon University, where I was advised by Aaditya Ramdas. From 2023–2025, I was a DSI Faraco Family Postdoctoral Fellow at the University of Chicago, where I worked with Victor Veitch.

Recent news and upcoming events (details):
New working paper “betting on bets” is now on arXiv! (paper page)
New paper on softmax geometry in LLMs is accepted to ICML. (paper page)
The “combining evidence” paper is now published in JRSS-B. (paper page)
Spring: gave presentations at HBS EEO Workshop and CWI (Peter Grünwald’s group).
Summer: attending & presenting at IMS NRC Asia, INFORMS ADA 2026, and SAVI 2026.

CV Papers Teaching Software News Blog Academic Bio