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Speaker:Florentina Bunea (Cornell) Monday, October 28, 2024 3:30 PM – Pre-talk meet and greet teatime at 219 Prospect Street, 13th floor. There will be light snacks and beverages in the kitchen area. |
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Zoom Link: https://yale.zoom.us/j/94223816617 Meeting ID: 942 2381 6617
Bio: Florentina Bunea is a Professor in the Department of Statistics and Data Science at Cornell University, where she is also a member of the Graduate Fields of Statistics, Applied Mathematics, and Computer Science. As a member of the Diversity and Inclusion Council of the Bowers College of Computing and Information Science, she is dedicated to promoting diversity within data science disciplines.
Professor Bunea’s research spans statistical machine learning theory and high-dimensional statistical inference, with a focus on developing new methodologies and sharp theoretical insights for addressing a range of data science challenges. Her recent projects include estimation and theory for soft-max mixtures to deepen the understanding of large language models (LLMs) and AI algorithms, optimal transport for high-dimensional mixture distributions, and inference for the Wasserstein distance in topic models. She is also working on high-dimensional latent-space clustering, cluster-based inference, network modeling, and latent structure inference in high-dimensional models.
Her research interests extend to model selection, sparsity, and dimension reduction, with applications in fields such as genetics, systems immunology, neuroscience, sociology, and economics. Professor Bunea’s work is supported by the National Science Foundation (NSF-DMS). She is a Fellow of the Institute of Mathematical Statistics (IMS) and a recipient of the prestigious IMS Medallion Award. She has served as an Associate Editor for leading statistical journals, including Annals of Statistics, Bernoulli, JASA, JRSS-B, and EJS, and is a co-editor for the Chapman and Hall Statistics and Applied Probability Monograph Series.
