Victoria Stodden is Associate Professor in the Department of Industrial and Systems Engineering at the University of Southern California. She received a Ph.D. in Statistics from Stanford University and a Law Degree from Stanford Law School. She graduated magna cum laude with her Bachelor’s in Economics from the University of Ottawa and holds a master’s degree in Economics from the University of British Columbia. She held the Kauffman Innovation fellowship at Yale Law School and was a Berkman Klein fellow at Harvard Law School. She was a postdoctoral researcher at MIT and has held faculty positions at the University of California Berkeley, Columbia University, and a tenured position at the University of Illinois at Urbana Champaign.

Stodden is an internationally recognized leader in improving the reliability of scientific results in the face of increasingly sophisticated computational approaches to research: understanding when and how inferences from data are valid and reproducible, what it means to have replicated a result, the effect of big data and computation on scientific inference, the design and implementation of scientific validation systems, standards of openness and transparency for data and code sharing, and resolving legal and policy barriers to disseminating reproducible research.