Conor Mayo-Wilson

Conor Mayo-Wilson is an Associate Professor in the Department of Philosophy at the University of Washington, specializing in formal epistemology, logic, and philosophy of science. His research spans interdisciplinary methodologies bridging philosophy with statistics, game theory, and causal inference.

• Education:
  • Ph.D., Philosophy, Carnegie Mellon University (2012)
  • M.S., Logic and Computation, Carnegie Mellon University (2009)
  • M.S., Mathematics, Carnegie Mellon University (2009)
  • B.S., Mathematics, Stanford University (2006)
  • B.A., Philosophy, Stanford University (2006)

His research focuses on the intersection of epistemology, statistics, and causal inference, with notable contributions to robust Bayesianism, causal discovery algorithms, and the philosophical foundations of statistical methods. Recent articles address computational philosophy, measurement theory, and severe testing frameworks.

Mayo-Wilson has taught courses including Introduction to Logic, Seminar in Epistemology, and Statistics and Philosophy of Voting. He is affiliated with the Center for Statistics in the Social Sciences at the University of Washington.

• Scientific Awards:
  • Best Paper Award, 2014