The Northeastern Probabilistic Programming Laboratory (NeuPPL) is part of the Programming Research Laboratory at Northeastern University. We do research at the intersection of programming languages, artificial intelligence, and machine learning. Our main goal is to design tools and formal foundations to make probabilistic modeling fast, accessible, and useful for solving every-day reasoning tasks.

•   308 West Village H.
       440 Huntington Ave., Boston MA
•  s.holtzen@northeastern.edu
•  GitHub

Currently we have the following ongoing projects:

• Design and implementation of probabilistic programming languages.
• Automated scalable probabilistic inference.
• Formal foundations for reasoning about probability.

Members & Collaborators

Steven Holtzen
Assistant Professor
Personal webpage
Email: s.holtzen@northeastern.edu

John Li
PhD. Student (co-advised with Amal Ahmed)
Personal webpage
Email: li.john@northeastern.edu

Minsung Cho
PhD. Student
Personal webpage
Email: minsung@ccs.neu.edu

Sam Stites
PhD. Student
Personal webpage
Email: stites.s@northeastern.edu

Jack Czenszak
Undergraduate Student
Personal webpage
Email: czenszak.j@northeastern.edu

Collaborators:

• Poorva Garg. PhD. Student at UCLA.
  Personal webpage
  
• Abdelrahman Madkour. PhD. Student at Northeastern.
  Personal webpage
  
• Lisa Oakley. PhD. Student at Northeastern.
  Personal webpage
  
• John Gouwar. PhD. Student at Northeastern.
  Personal webpage
  

Former members:

• Matthew Wang. Research Assistant. Jul 2023 — Aug 2023
  Personal webpage
  Now at Teaching Faculty at University of Washington