About

Hello! I am a first year master's student in CS at Brown University , working with Prof. Randall Balestriero and Prof. David Klindt. Prior to joining Brown, I worked as an AI researcher at Boeing. Even before that, I completed my B.S. in Electrical and Electronic Engineering at Yonsei University, with a minor in Astronomy. I am grateful to have my studies funded through the Fulbright Program scholarship. I am looking for Ph.D opportunities starting from Fall 2027.

Currently, I work on world models and latent action models, with a focus on capturing the symbolic structure underlying the world and human reasoning.

CV Google Scholar heejeong_nam at brown dot edu

News

May. 2026 I will spend summer at CSHL for NeuroAI research internship.
Apr. 2026 I will be at NYC Computer Vision Day 2026 and will give a lightning talk!
Apr. 2026 I will visit Stanford for CS25 guest lecture (Apr 8-10)
Mar. 2026 I gave an invited talk at POSTECH (Zoom Webinar). Slide available here.
Feb. 2026 Causal-JEPA is released! Check out the tweet for a quick summary!
Feb. 2026 I will attend World Modeling Workshop 2026 in Montreal, Canada!
Sep. 2025 Check out Boeing Magazine’s latest issue featuring our project HERE!
Sep. 2025 I start my M.S. in Computer Science at Brown University .
May. 2025 I am honored to be selected as a Logo graduate student.
Mar. 2025 Our multimodal reasoning benchmark VAGUE 2.0 (ICCV 2025) is released!
Oct. 2024 1 paper is accepted at AdvML-Frontiers @ NeurIPS 2024
Jun. 2024 I started research collaboration @ Causality Lab (SNU).
Jan. 2024 I joined Logo as an AI Researcher.
Dec. 2023 1 paper is accepted at ICASSP 2024
Oct. 2023 1 paper is accepted at CRL @ NeurIPS 2023
Oct. 2023 Selected as a NeurIPS 2023 Volunteer.
Sep. 2023 I started Industry-Academic Cooperation @ LinqAlpha.
Sep. 2023 1 paper is accepted in 4th Korea Artificial Intelligence Conference.
Oct. 2022 I starteed my internship at AITRICS (~Feb '23).
Jun. 2022 I starteed my internship at VRL @ UCSB. (~Sep '22)

Selected Publications


Full list available here

ICML 2026
Causal-JEPA: Learning World Models through Object-Level Latent Interventions
Heejeong Nam, Quentin Le Lidec*, Lucas Maes*, Yann LeCun, Randall Balestriero
ICML 2026
UAI 2026
Towards Causal Representation Learning with Observable Sources as Auxiliaries
Kwonho Kim, Heejeong Nam, Inwoo Hwang, Sanghack Lee
UAI 2026
ICCV 2025
VAGUE: Visual Contexts Clarify Ambiguous Expressions
Heejeong Nam*, Jinwoo Ahn*, Keummin Ka, Jiwan Chung, Youngjae Yu
International Conference on Computer Vision, 2025
NeurIPS CRL 2023
SCADI: Self-supervised Causal Disentanglement in Latent Variable Models
Heejeong Nam
NeurIPS 2023 Workshop on Causal Representation Learning

Talks

Media

Miscellaneous

I love (almost all) outdoor activities. I love going gym, figure skating, snow boarding, and running. However, I am very bad at cooking so don't ask me for home-cooked Korean food 😛. I am caffeine addicted, so I am always down for a coffee chat.