Jason Altschuler

Jason Altschuler
  • Assistant Professor of Statistics and Data Science
  • Assistant Professor of Computer and Information Science (secondary appointment)
  • Assistant Professor of Electrical and Systems Engineering (secondary appointment)

Contact Information

  • office Address:

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

Research Interests: optimization, probability, machine learning, mathematics of data science, optimal transport

Links: Personal Website, UPenn Optimization Seminar

Overview

Education

Ph.D. in Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 2022

MS in Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 2018

B.S. in Computer Science, Princeton University, 2016

Academic Positions Held

Faculty Fellow, New York University, 2022-2023

Continue Reading

Teaching

Current Courses (Spring 2025)

  • STAT4300 - Probability

    Discrete and continuous sample spaces and probability; random variables, distributions, independence; expectation and generating functions; Markov chains and recurrence theory.

    STAT4300002 ( Syllabus )

    STAT4300003 ( Syllabus )

All Courses

  • AMCS5999 - Independent Study

    Independent Study allows students to pursue academic interests not available in regularly offered courses. Students must consult with their academic advisor to formulate a project directly related to the student’s research interests. All independent study courses are subject to the approval of the AMCS Graduate Group Chair.

  • AMCS9999 - Ind Study & Research

    Study under the direction of a faculty member.

  • STAT4300 - Probability

    Discrete and continuous sample spaces and probability; random variables, distributions, independence; expectation and generating functions; Markov chains and recurrence theory.

  • STAT9910 - Sem in Adv Appl of Stat

    This seminar will be taken by doctoral candidates after the completion of most of their coursework. Topics vary from year to year and are chosen from advance probability, statistical inference, robust methods, and decision theory with principal emphasis on applications.

  • STAT9950 - Dissertation

    Dissertation

Awards and Honors

  • George M. Sprowls Award for Best MIT PhD Thesis in Artificial Intelligence & Decision Making, 2022-2023
  • Two Sigma PhD Fellowship, 2020-2022
  • NSF Graduate Fellowship, 2016-2021
  • James Hayes-Edgar Palmer Prize in Engineering, Princeton University, 2016
  • Accenture Prize in Computer Science, Princeton University, 2015

Knowledge at Wharton

Ludovica Cesareo, Assistant Professor of Marketing at Lehigh University

Wharton experts speak with Ludovica Cesareo, assistant professor of marketing at Lehigh University about Walmart's "Birkin" bag.…Read More

Knowledge @ Wharton - 1/16/2025
The Next Generation of Startup Unicorns Will Come from Corporations In Lieu of the Traditional Startup Path

EY-Parthenon Americas leader joins the show to discuss research about startups taking a non-traditional approach to growing their companies.…Read More

Knowledge @ Wharton - 1/16/2025
Leslie Serro, Vice President of Marketing, Sweet Snacking, Kellanova

Wharton experts speak with Leslie Serro, vice president of marketing at Kellanova. …Read More

Knowledge @ Wharton - 1/16/2025