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, combining evidence (blog), comparing sequential forecasters
Representation geometry in large language models (LLMs): linear representations, interpretability, model steering, and softmax information geometry [a, b, c]

I received 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 preprint “Betting on Bets” is now on arXiv!
Presenting at the EEO Workshop at HBS in April.
Visiting Peter Grünwald’s group at CWI in April.
The “e-combine” paper is accepted to JRSS-B! (paper page)
New preprint on LLM/VLM softmax geometry is out on arXiv. (paper page)
Currently serving as a Workflow Chair for AISTATS 2026 (2-5 May).

CV Papers Teaching Software News Blog Academic Bio