I’m a 4th year PhD student at the University of Maryland studying reinforcement learning in a variety of contexts. My research centers around developing an empirical understanding of policy gradient methods and developing automatic curriculum learning methods. I was one of the developers of PettingZoo for multiagent environments and have worked on a number of open source tools for RL, including my curriculum learning library Syllabus. I’ve interned at Amazon Science and Google Research researching multi-objective RL and RLHF. I’m very interested in open-ended learning, automatic curriculum learning, and new directions combining LLMs with reinforcement learning. Feel free to reach out if you’d like to discuss ideas or opportunities to collaborate! I’m also looking for internships for Spring and Summer 2024.

Download my resumé.