Professor Dr. Edgar Dobriban profile photo

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

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Peter Gavin Hall IMS Early Career Prize

2024-01-01
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ASA Gottfried E. Noether Early Career Scholar Award

2024-01-01
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NSF CAREER Award

2021-01-01

Requirements for University of Pennsylvania

Doctorate Program

Requirements

GPA Requirement
Required:3.6
GRE General
Verbal
Required:162
Quantitative
Required:162
Overall
Required:162
GMAT
Total Score
Required:728
Overall
Required:728
TOEFL
Total
Required:115

Prerequisites

Bachelor's degree or equivalent Strong quantitative background

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.