![Victoria Stodden](https://niss.org/sites/default/files/styles/staff_photo/public/individual_bio_photos/vcsTACCbigc.jpg?itok=n3EqMhJV)
Since January 2021, Victoria Stodden is an associate professor in the USC Viterbi Daniel J. Epstein School of Industrial and Systems Engineering. She was formerly in the School of Information Sciences at the University of Illinois at Urbana-Champaign, with affiliate appointments in the Department of Statistics, the School of Law, the Department of Computer Science, the Coordinated Science Laboratory, and the National Center for Supercomputing Applications. She was also a faculty affiliate of the Center for Informatics Research in Science and Scholarship (CIRSS) at the University of Illinois. She completed both her PhD in statistics and law degree at Stanford University, and graduated magna cum laude from the University of Ottawa.
Her research focuses on understanding when and how inferences from data are valid and reproducible. Her group focuses on understanding the effect of big data and computation on scientific inference, for example studying adequacy and robustness in replicated results, designing and implementing infrastructure for sharing and validating scientific findings, developing standards of openness for data and code sharing, and resolving legal and policy barriers to disseminating reproducible research.