I am a Ph.D. student in Electrical and Computer Engineering at Carnegie Mellon University, advised by Prof. Carlee Joe-Wong, where I work on collaboration among AI agents. Before CMU, I worked on machine learning for healthcare at Washington University in St. Louis, advised by Prof. Chenyang Lu.
Research Interests. I am curious about collaboration among intelligent decision-making entities: what defines it, how to represent it, and what becomes computationally possible once it is represented, and at what cost. I am especially interested in how collaboration policy shapes teamwork among AI agents, and what behavior emerges under partially defined or open-ended policies. I approach collaboration by looking at how it unfolds as agents interact, tasks are transformed, interdependencies emerge, and individual contributions become collectively consequential.
Collaborative intelligence Emergent cooperation LLM-based multi-agent systems Decentralized agents
Education
- Ph.D. Student: Electrical and Computer Engineering, CMU (2025–Present)
- M.S.: Artificial Intelligence Engineering, Electrical and Computer Engineering, CMU (2024)
- B.S.: Computer Engineering and Computer Science, WashU (2023)
Teaching Experience
I really enjoy working with students. I’ve been a TA for a mix of undergrad and grad courses in systems and machine learning.
- Carnegie Mellon University
- 18-613: Foundations of Computer Systems — Spring 2025
- 18-661: Introduction to Machine Learning — Spring 2024 and Spring 2026
- Washington University in St. Louis
- CSE 422: Operating Systems and Organization — Fall 2022 and Spring 2023
- CSE 361: Introduction to System Software — Spring 2022
- CSE 132: Introduction to Computer Engineering — Spring 2021