prof_pic.jpeg

Jinmyeong Choi / 최진명

Email: jinmyeongchoi [at] snu [dot] ac [dot] kr / jinmyeoc [at] andrew [dot] cmu [dot] edu

Welcome! I’m Jinmyeong Choi, a master’s student at the Graduate School of Data Science at Seoul National University, advised by Prof. Taesup Kim.

I was also fortunate to spend time as a visiting scholar at Carnegie Mellon University, where I had the opportunity to work as a research intern at the Auton Lab with Prof. Artur Dubrawski.

My research lies at the intersection of time series foundation models, time series forecasting, and representation learning. I study how complex statistical properties of time series are encoded in learned representations, with a particular focus on non-stationarity and robust adaptation in real-world settings.

Outside of research, I enjoy swimming, running, and all kinds of sports, including futsal, soccer, basketball, badminton, and golf.

You can download my CV here.

news

Mar 01, 2026 Our paper, “Non-Stationarity in the Embedding Space of Time Series Foundation Models,” was accepted to the TSALM Workshop at ICLR 2026 🇧🇷
Jan 25, 2026 Our paper, “Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness,” was accepted to ICLR 2026.
Aug 17, 2025 I started a research internship at the Auton Lab.
Aug 17, 2025 I joined Carnegie Mellon University as a visiting scholar.
Aug 31, 2024 I began my master’s degree at Seoul National University.

selected publications

  1. Non-Stationarity in the Embedding Space of Time Series Foundation Models
    Jinmyeong Choi, Brad Shook, and Artur Dubrawski
    In 1st ICLR Workshop on Time Series in the Age of Large Models, 2026
  2. Towards Robust Real-World Multivariate Time Series Forecasting: A Unified Framework for Dependency, Asynchrony, and Missingness
    Jinkwan Jang, Hyungjin Park, Jinmyeong Choi, and 1 more author
    In The Fourteenth International Conference on Learning Representations, 2026
  3. Under Review
    Towards Universal Representation-Based Process Control
    Jinmyeong Choi, Taesup Kim, and Artur Dubrawski
    2026
    under review