Victoria Stodden

Associate Professor,
Daniel J. Epstein Department of Industrial & Systems Engineering,
University of Southern California

For more information, contact:

  • Carlos D. Brain
  • Penka Kovacheva

or any member of our senior staff.


    • Stanford University, Ph.D., Statistics
    • Stanford Law School, M.L.S.
    • Stanford University, M.S., Statistics
    • University of British Columbia, M.S., Economics
    • University of Ottawa, B.Soc.Sci., Economics (magna cum laude)

Victoria Stodden is an internationally recognized statistician. Professor Stodden analyzes the reliability of scientific results, particularly in the context of sophisticated computational approaches to research. Her expertise includes statistical sampling and statistical data analyses, big data methods, the design and implementation of scientific validation systems, and openness standards for data and code sharing.

As part of her work to make data applications more transparent and verifiable, Professor Stodden developed the “Reproducible Research Standard,” a suite of open licensing recommendations for disseminating computational results. While at Yale Law School, she won the Kaltura Prize for Access to Knowledge for her research on legal issues in reproducible research and scientific innovation.

Professor Stodden has testified on scientific reproducibility before the Congressional House Committee on Science, Space & Technology and co-chaired the National Science Foundation’s Advisory Committee for Cyberinfrastructure. She has been a member of the National Science Foundation’s Advisory Committee for the Computer and Information Science and Engineering (CISE) Directorate. She has also served on several National Academies of Science, Engineering, and Medicine committees.

Professor Stodden has published more than fifty papers in academic journals and conference proceedings, and co-edited two books: Privacy, Big Data, and the Public Good: Frameworks for Engagement, and Implementing Reproducible Research. She has served as associate editor for the Harvard Data Science Review, the Annals of Applied Statistics, and on the editorial advisory boards of a number of other statistics and data science journals.

Before joining USC, Professor Stodden held visiting and permanent faculty positions at the University of California, Berkeley, Columbia University, and the University of Illinois at Urbana-Champaign, where she received tenure. She was a Kauffman Fellow in Law and Innovation at Yale Law School and a fellow at Harvard Law School’s Berkman Center for Internet & Society.

Professor Stodden holds a Ph.D. in statistics and a law degree from Stanford University. She teaches courses in data science, statistical theory, quantitative methods, and machine learning, among other topics.