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 a few distinct topics:

Sequential, anytime-valid inference (SAVI): e-values & e-processes; testing-by-betting
Forecast evaluation: comparing sequential forecasters
Representation geometry in large language models (LLMs): linear representations, interpretability, model steering, and softmax information geometry [1, 2, 3]

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:
The “e-combine” paper is accepted to JRSS-B! (paper page)
New preprint on LLM/VLM geometry is out on arXiv. (paper page)
I am invited to present at the EEO Workshop at HBS (29-30 April).
I am currently serving as a Workflow Chair for AISTATS 2026 (2-5 May).

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