I am a Ph.D. candidate at the University of Massachusetts Amherst working with Przemyslaw A. Grabowicz and Yair Zick.

My research focuses on explainability techniques, discrimination measures, and fair learning methods for machine learning. Specifically, I intersect these topics to introduce methods that (i) prevent discrimination in supervised learning in an explainable way and (ii) provide fair and robust explanations and algorithmic recourse. My current research focuses on utilizing and developing white-box and black-box techniques to explain large language model decisions with respect to fairness.

In Fall 2020, I started the Ph.D. in computer science at UMass Amherst and received the GEM Ph.D. Fellowship. In 2023, I won the UMass Amherst Commitment to Diversity Award.

My CV can be found here.