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

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Research

Teaching

Past 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 is for graduate students who wish to learn about current research frontiers. It covers advanced topics in probability, statistical theory and methods, applied statistics, data science and artificial intelligence. Specific topics vary from year to year and emphasize both theoretical foundations and applications.

  • STAT9912 - Sem in Adv Appl of Stat (OPT)

    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

  • Sloan Research Fellowship in Mathematics, 2025
  • ICS Paper Prize, 2025
  • A.W. Tucker Finalist Prize, 2024
  • George M. Sprowls Award for Best MIT PhD Thesis in Artificial Intelligence & Decision Making, 2023
  • Two Sigma PhD Fellowship, 2020
  • NSF Graduate Fellowship, 2016
  • James Hayes-Edgar Palmer Prize in Engineering, Princeton University, 2016
  • Accenture Prize in Computer Science, Princeton University, 2015

In the News

Knowledge @ Wharton

Activity

Latest Research

Jason Altschuler and Kunal Talwar (2025), Resolving the mixing time of the Langevin Algorithm to its stationary distribution for log-concave sampling, SIAM Journal on the Mathematics of Data Science.
All Research

In the News

AI Is Killing the Cover Letter

As generative AI transforms the hiring process, Wharton’s Judd Kessler explains why cover letters are rapidly losing their value as signals of candidate quality and interest — and what firms and job seekers should rely on instead.…Read More

Knowledge @ Wharton - 2026/02/24
All News

Awards and Honors

Sloan Research Fellowship in Mathematics 2025
All Awards