Yale University


J.D., School of Law

UC Berkeley


Ph.D. Jurisprudence and Social Policy, School of Law

Rutgers University


B.A. Political Science and History


Associate Professor

Fordham Law School

Postdoctoral Research Fellow

NYU Information Law Institute

Visiting Postdoc

ETH Zurich Center for Law and Economics

Postdoctoral Fellow

UC Berkeley Social Science Data Lab

Technology Policy Intern


Google Policy Fellow


Data Science for Social Good Fellow

University of Chicago

I am currently a faculty member at Fordham Law. 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 questions in law and technology. I also have a number of projects that integrate data science methods into empirical legal studies more broadly.

Prior to arriving at Fordham, I held a number of academic positions. I was a postdoctoral research fellow at NYU's Information Law Institute, 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. 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.

At Fordham, I currently offer 1L Torts and a survey course on Law & Technology. Previously, I taught or assisted with various undergraduate, law, and graduate courses in both law and data science. I co-taught a Data, Prediction, and Law course for the Berkeley undergraduate Legal Studies and Data Science programs, and a doctoral course in Computational Social Science at Berkeley.

For more details, please see my CV .

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