Hi! I am a researcher interested in problems related to data and tech ethics, algorithmic fairness, tech alignment, and community-focused AI development. Broadly, my work studies the interactions between society and automation and addresses various questions around the potentially harmful impacts of AI applications.

Most recently, I was a Postdoctoral Associate, working with Walter Sinnott-Armstrong and Jana Schaich Borg at Duke University, and Hoda Heidari and Vincent Conitzer at Carnegie Mellon University. For this postdoc, I was affiliated with the Social Science Research Institute at Duke, the Duke Philosophy department, and the Kenan Institute of Ethics.

I received my Ph.D. from the Department of Statistics and Data Science at Yale University, where I was advised by Elisa Celis. While at Yale, I was a Resident Fellow at the Information Society Project (ISP) at Yale Law School from 2022-2023 and a 2022 Policy Fellow at the Yale Institute for Social and Policy Studies (ISPS). Prior to that, I spent two years at École Polytechnique Fédérale de Lausanne (EPFL). Even before that, I completed my Bachelor’s and Master’s degrees in Computer Science and Engineering at the Indian Institute of Technology, Kanpur, where I worked with Rajat Mittal.

Publications, Preprints, and Workshop Papers

Ph.D. Thesis

Master’s Thesis

Fairness in AI