Bruce Lindsay Professor of Econometrics and Statistics in the Wallman Society of Fellows
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. Rockova has been internationally recognized for her broad research contributions at the intersection of statistics and machine learning. Her primary focus has been on creating innovative decision-centric tools for extracting insights from extensive datasets. She specializes in Bayesian computation, variable selection, high-dimensional decision theory, and hierarchical modeling. Her current research agenda includes uncertainty quantification and inference for generative models underlying many modern artificial intelligence platforms.
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. This award is given annually by the Committee of Presidents of Statistical Societies to the “best statistician worldwide under 40 years of age”. She received her award for “path-breaking contributions to theory and methodology at the intersection of Bayesian and frequentist Statistics ... for exemplary service to Statistics and for generous mentorship of students and post-doctoral researchers".
She currently serves on the editorial boards of the Annals of Statistics, Journal of the American Statistical Association and Journal of the Royal Statistical Society (Series B). At the University of Chicago, she participates in several initiatives that promote the role of Statistics in society (Centre of Applied AI at Booth, Committee on Quantitative Methods in Social, Behavioral and Health Sciences, Data Science Institute). She is also an affiliate faculty at the Department of Statistics at the University of Chicago.
Beyond her academic pursuits, Veronika is an avid pianist, tennis enthusiast, and golf neophyte.
| Number | Course Title | Quarter |
|---|---|---|
| 41201 | Big Data | 2025 (Winter) |
Machine learning is being tasked with an increasing number of important decisions. But the answers it generates involve a degree of uncertainty.
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The most influential rating system rests on some faulty calculations, affecting millions of people and billions of dollars.
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The US federal government’s hospital scoring can be woefully inaccurate, research suggests, giving many small hospitals undue boosts.
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