Statistical Theory; Epistemology; Philosophy of Science; Empirical Legal Studies
Boris Babic is primarily interested in the theory of Bayesian statistics and its relationship to epistemology of science and machine learning. His current work focuses on the role of risk in statistical inference. He also has interests in legal decision-making, especially in complex litigation involving the use of statistical evidence.
Before coming to Caltech, Babic was a graduate student in Philosophy and Statistics at the University of Michigan, Ann Arbor. Prior to his time at Michigan, he studied law at Harvard University and worked as an intellectual property lawyer in Los Angeles, where he represented companies fighting over fashion dolls, cell phones, and comic books. He also worked on several securities fraud cases arising out of the 2008 financial crisis.