I am currently a faculty member at Fordham Law. My primary research interests are in law & technology and law & data science. My work examines artificial intelligence, cybersecurity, and privacy, among other topics in tech. Methodologically, I apply methods drawn from machine learning, natural language processing, computer vision, and causal inference.

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 courses on Law & Technology and Cybersecurity. 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. I have also taught a number of data science workshops, especially for empirical legal scholars, and co-organized the Conference on Data Science and Law and the Junior Scholars Workshop at the ACM Symposium on Computer Science and Law.

For more details, please see my CV . To get in touch with me, please send an email to akesari@fordham.edu.