Research
My main research interests lie in machine learning for decision making and control, specifically in
reinforcement learning and imitation learning. I am also interested in general deep learning, including
deep generative models (e.g. LLMs, diffusion models, etc.) and representation learning.
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* indicates equal contribution
Teaching
- Spring 2023: Graduate TA for CS 6789: Foundations of Reinforcement Learning (PhD)
- Fall 2022: Graduate TA for CS 6756: Learning for Robot Decision Making (PhD)
- Spring 2022: Graduate TA for CS 4789: Introduction to Reinforcement Learning
- Fall 2021: Graduate TA for CS 2110: OOP & Data Structures
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Service
- Reviewer: NeurIPS 2023, ICLR 2024
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