Veronika Rockova

Assistant Professor of Econometrics and Statistics, and James S. Kemper Foundation Faculty Scholar at Booth School of Business

Schools

  • Booth School of Business

Expertise

Links

Biography

Booth School of Business

Veronika Rockova is Assistant Professor in Econometrics and Statistics at the University of Chicago Booth School of Business. Her work brings together statistical methodology, theory and computation to develop high-performance tools for analyzing big datasets. Her research interests reside at the intersection of Bayesian and frequentist statistics, and focus on: data mining, variable selection, machine learning, non-parametric methods, factor models, dynamic models, high-dimensional decision theory and inference. She has authored a variety of published works in top statistics journals, including the Journal of American Statistical Association and the Annals of Statistics. In her applied work, she contributed to the improvement of risk stratification and prediction models for public reporting in healthcare analytics.

Prior to joining Booth, Rockova held a Postdoctoral Research Associate position at the Department of Statistics of the Wharton School at the University of Pennsylvania. Rockova holds a PhD in biostatistics from Erasmus University (The Netherlands), an MSc in biostatistics from Universiteit Hasselt (Belgium) and both an MSc in mathematical statistics and a BSc in general mathematics from Charles University (Czech Republic).

Beyond statistics, she is a keen piano and tennis player.

Read about executive education

Other experts

Lucia Garcia-Lorenzo

Dr Lucia Garcia is Associate Professor in Organisational and Social Psychology and Director of the MSc in Organisational and Social Psychology in the Department of Psychological and Behavioural Science. BA, MSc (UPV, Spain); PhD (LSE); PgCert in Group Analysis (IGA), PgCert Business Coaching (HB...

Looking for an expert?

Contact us and we'll find the best option for you.

Something went wrong. We're trying to fix this error.