About Me

I am a PhD student at UT Austin advised by Amy Zhang working on deep reinforcement learning. I was supported by the NSF Ethical AI Fellowship. I am interested in all sorts of deep reinforcement learning problems but recently I’ve been thinking about unsupervised learning within decision-making contexts and applying those tools to large-scale robot learning.

Previously, I did work in the Structured Techniques for Algorithmic Robotics lab (STAR) with Professor Harish Ravichandar and the Robot Autonomy and Interactive Learning lab (RAIL) with Professor Sonia Chernova. I also worked closely with Robotics PhD student Joanne Truong on sim2real for legged robotics.

Detailed C.V. (updated March 2025)

Education

• PhD in Computer Science, UT Austin, 2022 -
• M.S. in Electrical and Computer Engineering, Georgia Institute of Technology, 2020-2021
• B.S. in Electrical Engineering and Minor in Robotics, Georgia Institute of Technology, 2016-2020

News

• 8/24: Our workshop on building trust in AI systems was accepted to Trustworthy Autonomous Systems 2024
• 5/24: Began Applied Scientist internship at Amazon working on exploration for reinforcement learning
• 5/24: Paper on bisimulation representation learning for RL accepted at the Reinforcement Learning Conference
• 4/24: Named Finalist in the Qualcomm Innovation Fellowship
• 9/22: Awarded Ethical AI Fellowship
• 8/22: started CS PhD at UT Austin

Publications

In the Media

I was part of an intern spotlight while working on Mars2020 at the Jet Propulsion Lab.

When not herding robots…

I like to play tennis and bake.

Joshua Tree National Park

Everglades National Park