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

My research focuses on fairness and explainability in machine learning and their intersection. E.g., how to use tools that explain black-box models to reveal potential biases in decision-making systems and how can we prevent such biases (see blog post here about this). My current interests lie how can we ensure that explainability methods are unbiased and bringing explainability to reinforcement learning and large language model domains.

Before starting my Ph.D., I completed my B.S. in Computer Science and in Math at UMass in 2018. After starting my M.S. that same year, I eventually joined the Ph.D program at UMass Amherst in 2020. In 2020, I received the GEM Fellowship. In 2023, I won the UMass Amherst Commitment to Diversity Award.