- CaRT: Teaching LLM Agents to Know When They Know Enough
- Demystifying the Mechanisms Behind Emergent Exploration in Goal-conditioned RL
- A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals
- Binary Climate Visuals Heighten Perceived Impact of Climate Change
Supported by the NSF GRFP fellowship.
Research Experience
Closely works with Rachit Dubey and Benjamin Eysenbach on research projects.
Education
Currently a second-year PhD student in the MLD department at CMU, advised by Aarti Singh and Jeff Schneider. Undergrad and Master's at Princeton, advised by Tom Griffiths and Gabe Vecchi.
Background
Research interests include making RL and LLM agents more efficient, reliable, and interpretable. Also interested in the challenges and opportunities of human-AI collaboration at both the individual (cognitive) and societal scale.