Hello!

I am a Software Engineer at Google, USA, developing AI/ML models to optimize user satisfaction in search ads. I hold a Ph.D. in Computer Science from Rice University, USA, where I was advised by Dr. Vaibhav Unhelkar. Prior to my Ph.D., I worked as a research engineer at Coreline Soft - a medical AI startup - and the Agency for Defense Development - a national research institute - in South Korea. I received my M.S. and B.S. degrees from Seoul National University, South Korea.

My research centers on Human Behavior Modeling, Human-Agent Collaboration, Theory of Mind and AI-Assisted Decision Making. During my PhD, I developed imitation and reinforcement learning algorithms for modeling multimodal human behaviors, as well as an AI-driven team coaching system that automatically analyzes and improves human teamwork in real time.

Selected Publications

Sangwon Seo and Vaibhav V. Unhelkar, “Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations,” AAMAS 2025

Sangwon Seo, Bing Han, Rayan E. Harari, Roger D. Dias, Marco A. Zenati, Eduardo Salas, and Vaibhav V. Unhelkar, “Socratic: Enhancing Human Teamwork via AI-enabled Coaching,” AAMAS 2025

Sangwon Seo and Vaibhav V. Unhelkar, “IDIL: Imitation Learning of Intent-Driven Expert Behavior,” AAMAS 2024

Sangwon Seo, “AI-Assisted Human Teamwork,” AAAI 2024 Doctoral Consortium

Sangwon Seo, Bing Han, and Vaibhav V. Unhelkar, “Automated Task-Time Interventions to Improve Teamwork using Imitation Learning,” AAMAS 2023

Sangwon Seo and Vaibhav V. Unhelkar, “Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations,” IJCAI 2022

Sangwon Seo, Lauren R. Kennedy-Metz, Marco A. Zenati, Julie A. Shah, Roger D. Dias, and Vaibhav V. Unhelkar, “Towards an AI coach to infer team mental model alignment in healthcare,” CogSIMA 2021