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Veronika Rockova is Professor of Econometrics and Statistics and the James S. Kemper Faculty Scholar at the Booth School of Business at the University of Chicago. She joined Booth after completing her postdoctoral training in statistics at the Wharton School of the University of Pennsylvania. She teaches a course on Big Data at Booth. Her research interests lie at the intersection of statistics and machine learning, with a primary focus on creating innovative decision-centric tools for extracting insights from extensive datasets. She specializes in Bayesian computation, high-dimensional decision theory, and hierarchical modeling. Her applied areas of interest include healthcare analytics and computational medicine. Her research was acknowledged with the National Science Foundation CAREER Award in 2020, the COPSS Emerging Leader Award in 2023 and the COPSS President's Award in 2024. She currently serves as an associate editor for the Annals of Statistics, Journal of the American Statistical Association, and the Journal of the Royal Statistical Society.
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JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATIONpp.1-27, (2023)
arXiv (Cornell University) (2023)
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JOURNAL OF MACHINE LEARNING RESEARCH (2023)
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