Events

Florentina Bunea received her Ph.D. in Statistics from the University of Washington, and is a Professor of Statistics at Cornell University, the Ithaca Campus. She is an elected IMS fellow for her foundational work in model selection and aggregation in parametric, semi-parametric and non-parametric models.

Her research interests center around statistical machine learning, with a focus on methodology and theory. Her most current works are motivated by the study of high dimensional models with hidden low dimensional structures that arise in complex applications. Examples include latent space overlapping clustering; inference, prediction and classification in models with hidden structures; understanding prediction performance with minimum-norm interpolating predictors; topic models. Her work on inference and prediction with interpretable latent factor regression received an IMS award in 2020.

Her research has been continuously funded by the NSF-DMS, with conference grants awarded either by NSF or by international organizations. She has served or is serving as an AE for premier journals in statistics, including The Annals of Statistics, The Journal of the American Statistical Association and The Journal of the Royal Statistical Society.