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Veronika Rockova is a Professor of Econometrics and Statistics at the Booth School of Business, University of Chicago, and a member of the Wallman Society of Fellows. She specializes in transforming uncertainty into understanding through data science and applied artificial intelligence, uncovering patterns to improve decision-making and building systems where humans and machines think together. Her research has gained international recognition, earning her multiple prestigious awards including the 2020 NSF CAREER Award, the 2023 COPSS Emerging Leader Award, and the 2024 COPSS Presidents’ Award, which is the highest honor for a statistician under the age of 40. Rockova's pioneering contributions lie in the intersection of statistics and machine learning, specifically in Bayesian methodologies and predictive inference. She is committed to advancing the field of statistics while emphasizing the importance of responsible AI applications.
University of Chicago Booth School of Business • Chicago, IL, US
Professor of Econometrics and Statistics, specializing in data science and applied AI.
Department of Philosophy