Edgar Dobriban

Edgar Dobriban
  • Associate Professor of Statistics and Data Science, with secondary appointment in Computer and Information Science

Contact Information

  • office Address:

    305 Academic Research Building
    265 South 37th Street
    Philadelphia, PA 19104

Research Interests: Statistics and machine learning

Overview

Our research interests include problems at the interface of statistics, machine learning, and AI, such as uncertainty quantification, AI safety, robustness, high-dimensional asymptotic statistics, etc.

The group is always looking to expand. We are recruiting PhD students at Penn to work on problems in statistics and machine learning. PhD applicants interested to work with me should mention this on their application. Please apply through the departments of Statistics & Data Science, Computer and Information Science, and the AMCS program, as it gives higher chances for admission.

Recent news:

Miscellanea:

  • I use Twitter/X to keep up with new research.
  • I grew up in Romania, and speak Hungarian as a first language (the original spelling of my name is Dobribán Edgár).

 

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Research

Talk slides: GitHub.  Google Scholar.

Teaching

Current Courses (Fall 2026)

  • STAT1018 - Intro Business Stat

    The STAT 1018 honors section, which fulfills the STAT 1010 requirement, offers an introduction to probability and statistics for students who have studied calculus and are seeking a class with mathematical content. The class will assume good command of the material in MATH 1070 or MATH 1400 as a prerequisite. STAT 1018 is particularly recommended for students who are considering the concentration or minor in statistics and data science or other quantitative fields (such as quantitative finance).

    STAT1018001 ( Syllabus )

  • STAT4310 - Statistical Inference

    Graphical displays; one- and two-sample confidence intervals; one- and two-sample hypothesis tests; one- and two-way ANOVA; simple and multiple linear least-squares regression; nonlinear regression; variable selection; logistic regression; categorical data analysis; goodness-of-fit tests. A methodology course. This course does not have business applications but has significant overlap with STAT 1010 and 1020. This course may be taken concurrently with the prerequisite with instructor permission.

    STAT4310002 ( Syllabus )

Awards and Honors

Activity

Latest Research

Timothy Sudijono, Edgar Dobriban, Eric Tchetgen Tchetgen, Sharp Minimax Theory for Randomized Experiments.
All Research