Jason Altschuler

Email: jasonalt [at] mit [dot] edu
Office: Stata D760



I am a final-year PhD student in the EECS department at MIT. I am fortunate to be advised by Pablo Parrilo. My research is supported by an NSF PhD fellowship and a TwoSigma PhD fellowship.

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 play chess. I obtained an International Master norm in Spain in 2015.

--> Update: Starting Fall 2023, I will be an assistant professor at UPenn in the Wharton Department of Statistics and Data Science. In the academic year 2022-2023, I will be a CDS Faculty Fellow at NYU Center for Data Science.


Preprints under review

Journal articles

Conference proceedings


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