Steven Holtzen

Assistant Professor
Khoury College of Computer Sciences, Northeastern University.

PhD. Computer Science, University of California, Los Angeles.

Email: s.holtzen@northeastern.edu

Office: West Village H Room 320

Address:
Northeastern University
Khoury College of Computer Sciences
320 West Village H
440 Huntington Avenue
Boston, MA 02115


overview

My research is at the intersection of programming languages and artificial intelligence. I am part of the Programming Research Laboratory at Northeastern University, and I guide the Northeastern Probabilistic Programming Laboratory (NeuPPL). Brief biography.

I like designing systems that make probabilistic modeling fast, accessible, and useful for solving every-day reasoning tasks. My research focuses on:

I regularly teach courses on programming languages; see here for a recent offering.

news

Sep 25, 2026
I was quoted in Business Insider on my former undergraduate advisee Noah Shinn’s work on Instinct. Congrats Noah!
Sep 14, 2026
I am giving a keynote at the GRAINS workshop.
Aug 17, 2026
I gave a keynote at the Workshop on Tractable Probabilistic Modeling (TPM) at UAI 2026 in Amsterdam. A recording of the talk is available.
Aug 5, 2026
New funding: our team was selected to participate in the DARPA CLARA program.
Jul 17, 2026
Huge congratulations to my first PhD student to graduate, Sam Stites! He will start as an assistant teaching professor at Roosevelt University in Chicago.
May 27, 2026
Categorical Semantics of Probabilistic Symbolic Execution received a distinguished paper award at PLDI 2026! Congratulations John and Jack!
May 11, 2026
I will be lecturing at French Spring School in Theoretical Computer Science École de Printemps d’Informatique Théorique (EPIT) on probabilistic programming languages.
Apr 30, 2026
Congratulations John on his accepted PLDI paper “Categorical Semantics of Probabilistic Symbolic Execution”.
May 1, 2025
Roulette accepted to PLDI 2025.
Mar 5, 2025
Congratulations Sam and John on the accepted OOPSLA paper Multi-Language Probabilistic Programming, and congratulations Minsung and John on his accepted OOPSLA paper Scaling Optimization Over Uncertainty via Compilation!

Past news...