Professor Dr. Edgar Dobriban
Associate Professor
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Biography
Edgar Dobriban is an Associate Professor in the Department of Statistics and Data Science at the University of Pennsylvania, with a secondary appointment in the Department of Computer and Information Science. His research encompasses a wide range of topics including statistics, machine learning, artificial intelligence, and uncertainty quantification. Dobriban's contributions have been recognized with numerous awards, including the Peter Gavin Hall IMS Early Career Prize and the ASA Gottfried E. Noether Early Career Scholar Award. He has published extensively, with recent works focusing on statistical methods for generative AI and robust prediction techniques. He has also been actively involved in developing research programs and collaborating with others to advance the field of statistical learning. Dobriban's teaching includes courses on probability, machine learning, and statistics. He is dedicated to mentoring students and fostering academic growth within his departments.
Research Interests
Awards
Peter Gavin Hall IMS Early Career Prize
ASA Gottfried E. Noether Early Career Scholar Award
NSF CAREER Award
Requirements for University of Pennsylvania
Doctorate Program
Requirements
GPA Requirement
GRE General
GMAT
TOEFL
Prerequisites
Application Checklist
- Academic Transcripts
- Letters of Recommendation (2-3)
- Resume/CV
- Statement of Purpose
- Essays
Specialization Notes
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.