I am a postdoc without a supervisor at New York University (NYU). My research is on interpretability and explainability for natural language processing, with the aim of understanding what it means for a deep neural network to be “interpreted by” or “explained to” a human audience. Interests include but are not limited to:
- BERTology and analysis of neural representations
- feature attribution, causality, and bias
- generative linguistics, syntax, and psycholinguistics
- theory of computation and formal languages
- theoretical foundations, rigor, and reproducibility
My collaborators at NYU include Tal Linzen and João Sedoc. I recently completed my PhD in Linguistics and Computer Science with Bob Frank and Dana Angluin at Yale University.
Education
PhD, Linguistics and Computer Science
Yale University, 2022
Advisors: Bob Frank and Dana Angluin
BA, Mathematics and Linguistics
University of Chicago, 2015
Advisor: Greg Kobele
Professional Experience
Assistant Professor/Faculty Fellow
New York University, 2022–
Natural Language Machine Learning Intern
Apple, Summer 2021
Visiting Researcher
National Institute of Informatics, Summer 2017
Software Developer
Epic, 2015–2016
Sales and Trading Intern
Wells Fargo Securities, Summer 2014