Welcome!
I am a third-year Computer Science PhD candidate at the University of Wisconsin-Madison. I am broadly interested in representation learning questions in the context of reinforcement learning.
In particular, I study how AI agents can learn suitable representations about the world that may be useful in continuing, long-horizon, and off-policy evaluation tasks.
I am fortunate to be advised by Josiah Hanna, and I also closely collaborate with
Qiaomin Xie and Yudong Chen.
I have also interned at Sony AI.
Previously, I completed my BS and MS in Computer Science from the
University of Texas at Austin,
where I was fortunate to be advised
by Peter Stone.
I also worked as a
software engineer at Salesforce
and SAS Institute.
Feel free to shoot me an email if you want to chat!