Dr. Florentina Bunea

Professor

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Biography

Florentina Bunea is a Professor in the Department of Statistics and Data Science at Cornell Bowers University. Her research is broadly centered on statistical machine learning theory and high-dimensional statistical inference. She focuses on developing new methodologies accompanied by sharp theory to solve a variety of problems in the rapidly growing field of data science, particularly in artificial intelligence. Her research interests include mixture modeling, latent space estimation, and sparsity dimension reduction in high dimensions, as well as statistical optimal transport and their applications in large language models and immunology. Some specific research foci include latent space modeling for discovery and inference, structure adaptive estimation of high-dimensional models, and estimation inference in discrete statistical optimal transport. Bunea has been recognized with the IMS Medallion Award and is a fellow of the Institute of Mathematical Statistics. She serves as an associate editor for several influential journals and is actively involved in promoting diversity in the workforce of data science disciplines.

Research Interests

Experience

Professor

2010-08-01 — Present

Cornell Bowers University • Ithaca, NY

Teaching and researching in the fields of statistics and data science.

Awards

#

IMS Medallion Award

2021-11-01

Requirements for Cornell Bowers University

Doctorate Program
Requirements
TOEFL
Listening
Required:15
Reading
Required:20
Writing
Required:20
Speaking
Required:22
Total
Required:77
IELTS
Overall
Required:7
Prerequisites
Demonstrated competency in AI, Theory, Systems, and Programming Languages at the undergraduate level
Application Checklist
  • Online CollegeNET Application
  • Academic Statement of Purpose
  • Personal Statement
  • Three letters of recommendation
  • Transcripts from all institutions
  • TOEFL or IELTS scores (International)
Specialization Notes

Department of Computer Science - PhD program focus on research leadership.