Andrea Roth is a professor of law at UC Berkeley. Before that, she was a Thomas Grey Fellow at Stanford, a public defender for nine years in Washington, D.C., and a clerk for Justice Dana Fabe of the Alaska Supreme Court. Her research focuses on how pedigreed concepts of criminal procedure and evidentiary law work in an era of science-based prosecutions. Her recent work includes “The Use of Algorithms in Criminal Adjudication,” in The Cambridge Handbook on the Law of Algorithms (2021), “‘Spit and Acquit’: Prosecutors as Surveillance Entrepreneurs,” and “Machine Testimony,” (2017). She is a co-author on a leading evidence casebook (Sklansky & Roth) and a scientific evidence treatise (Imwinkelried, Moriarty, Roth,& Beety). She is a member of the Legal Resource Committee of the National Institute of Standards and Technology’s Organization of Scientific Area Committees, and one of several co-directors of the Berkeley Center for Law and Technology. She has received the campus-wide Distinguished Teaching Award and the law school’s annual Rutter Teaching Award. She holds a B.S. in mathematics and B.A. in political science from the University of New Mexico, and a J.D. from Yale Law School.