Hi, I am a postdoctoral AI researcher at the MIT-IBM Watson AI Lab. I design, build, and evaluate agentic AI systems for real‑world work, with a focus on tool use, multi‑agent collaboration, and holistic benchmarking for reliability, safety, and impact. My interests span large language models (LLMs), agentic AI, natural language processing (NLP), and human–AI interaction (HAI).
I completed my Ph.D. at MIT advised by Deb Roy, where I studied the foundations of LLMs and their applications to human communication at scale. Earlier, I earned an M.S. in Symbolic Systems from Stanford University, affiliated with the Stanford NLP Group, and a B.S. in Computer Science and a B.A. in Linguistics, Summa Cum Laude, from Emory University.
I enjoy exploring ideas in both research and product settings, and have spent fun summers with AI2, Google, IBM Research, Apple, ETS, and CMU. I welcome research inquiries, collaborations, and mentorship opportunities. If you'd like to connect, please email me .