I am an assistant professor at UCLA School of Law. I teach torts, information privacy and data protection, and internet law.
In my research role, I study the effects of technological change on legal institutions and structures, with a particular focus on how technology disrupts society’s traditional understandings of civil rights and civil liberties. I am currently interested in the legal and social effects of machine learning algorithms, or what many people now call artificial intelligence. Consequential decisions are increasingly made on the basis of correlations that uncover patterns in human behavior. This technology upends much of what we think we understand about reasoning, causation, culpability, procedural rights, and discrimination. By combining insights from technical, legal, and social science research, I try to figure out the specific regulatory problems posed by the expanding use of machine learning in today’s society, and how to go about solving them.
Before UCLA, I was Postdoctoral Scholar at Data & Society Research Institute, and I’ve held visiting and adjunct positions at Fordham University School of Law, the Yale Information Society Project, Georgetown University Law Center and the Electronic Privacy Information Center. I was also a senior associate in Hogan Lovells, Public Citizen’s Supreme Court Assistance Fellow, a clerk for Hon. Jane R. Roth of the U.S. Court of Appeals for the Third Circuit and Hon. Dolly M. Gee of the Central District of California, and as a Privacy Research Fellow at NYU Law’s Information Law Institute. I graduated cum laude from the University of Michigan Law School in 2011.
Before law school, I designed analog integrated circuits.