Jason Altschuler

Email: ja4775 [at] nyu [dot] edu
Office: CDS 600



In Fall 2023, I join UPenn as an assistant professor in the Wharton Department of Statistics and Data Science. I am recruiting motivated PhD students and postdocs to join my group. If you are interested in optimization, probability, machine learning, and/or their intersections, please apply to the department by December 15 and mention my name.


I am currently a Faculty Fellow at the NYU Center for Data Science. Previously, I received my PhD in Electrical Engineering and Computer Science from MIT, where I was fortunate to be advised by Pablo Parrilo. Before that, I received my undergrad degree from Princeton.

My research interests are broadly at the interface of optimization, probability, and machine learning. One recent focus has been computational aspects of problems related to optimal transport.

I am interested in practical implementations as well as theory, and have previously interned in both tech (Apple Research, Google Research, Google) and Wall Street (DE Shaw, Tower Research).

In my free time, I like to ski, play tennis, and eat too many cookies. I also like chess and, in a past life, I obtained an International Master norm in Spain.



Journal articles

Conference proceedings



At NYU, I am the instructor for the grad course DS-GA 1014 Optimization and Computational Linear Algebra in Fall 2022.

At MIT, I was a TA for the grad course 6.255/15.093 Optimization Methods in Fall 2019.

At Princeton, I was a TA for:
  • COS 511: Theoretical machine learning (grad course) -- Spring 2016
  • MAT 340: Applied algebra -- Fall 2015
  • MAT 216: Honors real analysis -- Fall 2014
  • MAT 217: Honors linear algebra -- Spring 2014
  • MAT 215: Honors real analysis -- Fall 2013


Thanks to my family, I am Dr. Altschuler #n, for some large n≥5. If you are looking for a probability expert (who is also at NYU and shares some co-authors), you may be looking for my brother Dylan Altschuler.