I am a first-year PhD student in the UNC NLP group at the University of North Carolina at Chapel Hill, where I am advised by Prof. Mohit Bansal. My work at UNC is supported by a Royster Fellowship. I recently graduated with a bachelor’s degree from Duke University, where my research advisors were Cynthia Rudin, Sayan Mukherjee, and Jeff Beck. At Duke I was supported by a Trinity Scholarship.
My research interests lie in developing interpretable machine learning methods, with a focus on the domain of natural language processing. This line of research will be important for ensuring ML systems are aligned with human interests. I’m also particularly interested in connections between natural language processing and reinforcement learning.
- 2019 - Paper accepted into AAAI-HCOMP 2019, “Interpretable Image Recognition with Hierarchical Prototypes” [pdf]
- 2019 - Joined the UNC NLP lab
- 2019 - Graduated with a B.S. from the Department of Statistical Science at Duke University
- 2019 - Awarded the William R. Kenan Jr. (Royster) Fellowship from UNC Chapel Hill
- 2018 - Received First Prize in Darmouth’s PoetiX Literary Turing Test
- 2018 - Nominated for Statistical Science Undergraduate TA of the Year
- 2017 - Designated a Meritorious Winner for our submission to the Interdisciplinary Contest in Modeling