Victoria Stodden
Associate Professor, University of Illinois at Urbana-Champaign
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Biography

Victoria Stodden is an Associate Professor in the School of Information Sciences at the University of Illinois at Urbana Champaign, with affiliate appointments in the School of Law, the National Center for Supercomputer Applications, and the Departments of Computer Science and Statistics.

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 and Columbia University, before accepting a tenured position at the University of Illinois at Urbana Champaign.

Victoria is a leading figure in the area of reproducibility in computational science, exploring how can we better ensure the reliability and usefulness of scientific results in the face of increasingly sophisticated computational approaches to research. Her work addresses a wide range of topics, including standards of openness for data and code sharing, legal and policy barriers to disseminating reproducible research, robustness in replicated findings, cyberinfrastructure to enable reproducibility, and scientific publishing practices. Stodden co-chaired the NSF Advisory Committee for CyberInfrastructure (ACCI) and was a member of the NSF Directorate for Computer and Information Science and Engineering (CISE) Advisory Committee. She served on the National Academies Committees "Reproducibility and Replication in Science" and "Responsible Science: Ensuring the Integrity of the Research Process." Previously an assistant professor of statistics at Columbia University, Stodden taught courses in data science, reproducible research, and statistical theory and was affiliated with the Institute for Data Sciences and Engineering. She has co-edited two books: Privacy, Big Data, and the Public Good: Frameworks for Engagement published by Cambridge University Press and Implementing Reproducible Research published by Taylor & Francis. Stodden earned both her PhD in statistics and her law degree from Stanford University.

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