معرفی
Florentina Bunea is a Professor in the Department of Statistics and Data Science at Cornell University’s Bowers College of Computing and Information Science, and an active member of the Graduate Fields of Statistics, Applied Mathematics, and Computer Science. She also serves on the Diversity and Inclusion Council of her college, championing workforce diversity in data-science disciplines.
Education & Institutional Roles
- Professor, Department of Statistics and Data Science, Cornell University
- Member, Graduate Fields of Statistics, Applied Mathematics, Computer Science
- Member, Diversity and Inclusion Council, Bowers College of Computing and Information Science
Research Interests
Professor Bunea’s research lies at the intersection of statistical machine-learning theory and high-dimensional inference. She develops rigorous methodology supported by sharp theoretical guarantees to tackle core problems in modern data science. Recent themes include:
- Soft-max mixtures for understanding large-language-model/AI algorithms
- Optimal transport for high-dimensional mixture distributions
- Wasserstein-distance inference for sparse mixing measures in topic models
- Latent-space clustering and cluster-based inference in high dimensions
- Network modeling and hidden-structure inference
- Applications spanning genetics, systems immunology, neuroscience, sociology, and economics
Research Funding & Awards
Her work is supported by grants from the National Science Foundation (NSF-DMS). She is a Fellow of the Institute of Mathematical Statistics and a recipient of the IMS Medallion Award.
Editorial & Service Contributions
- Associate Editor: Annals of Statistics, Bernoulli, JASA, JRSS-B, EJS, Annals of Applied Statistics
- Co-Editor: Chapman & Hall/CRC Statistics and Applied Probability Monograph Series
Advising & Collaboration
Professor Bunea has mentored numerous doctoral and post-doctoral researchers, including Xin Bing, Shuyu Liu, Seth Strimas-Mackey, and Yang Ning, among others. Collaborative projects extend across Cornell and external institutions, producing widely-used software packages and high-impact publications.
Contact
- Office: 1184 Comstock Hall, Cornell University
- Email: fb238@cornell.edu
- Phone: (607) 255-8449
