I am currently a postdoctoral fellow at NYU, and will join the faculty of Fordham Law in Fall 2023. Prior to arriving at NYU, I was a postdoctoral scholar at UC Berkeley's Social Science Data Lab (D-Lab), and a visting postdoc at ETH Zurich's Center for Law and Economics. I earned my PhD at Berkeley Law, where I specialized in Law & Economics, JD at Yale Law School, and BA in Political Science and History from Rutgers University - New Brunswick. During graduate school, I was a recipient of a D-Lab Data Science Fellowship, and a research fellowship from the Law, Economics, and Politics Center. I was also a Google Policy Fellow at Engine, a Data Science for Social Good Fellow at the University of Chicago, and a Technology Policy Intern at GitHub.

My primary research interests are in privacy and cybersecurity law, data science, and public policy. I am particularly interested in using methods drawn from machine learning, natural language processing, and causal inference to explore open empirical questions in U.S. data protection law. I am also interested in integrating data science into empirical legal studies more broadly, and have co-taught a Data, Prediction, and Law course for the undergraduate Legal Studies and Data Science programs, and a graduate course in Computational Social Science at Berkeley.

For more details, please see my CV .