Welcome!
I'm Peter, a researcher studying theoretical & applied machine learning.
My research aims to understand the mathematical and algorithmic processes of representation learning, generalization, and sample-compression in machine learning models.
Education
- 2024-2026: M.S. in Computer Science, Northeastern University
- 2020-2024: B.S. in Computer Science, Northeastern University
Teaching
- Spring 2026: TA for CS 4530 (Fundamentals of Software Engineering)
- Fall 2025: TA for CS 4530 (Fundamentals of Software Engineering)
- Fall 2022: TA for CS 3500 (Object-Oriented Design)
Bio
I'm currently a M.S. in Computer Science candidate at Northeastern University, where I'm exploring statistical learning theory and mechanistic interpretability.
In the past, I've:
- Built browser agents as the founding engineer at Composite
- Researched and applied zero-knowledge cryptography at a venture-backed startup in the blockchain space
- Researched meta-heuristic optimization algorithms for a DARPA project at Scientific Systems
Email: li.pet [at] northeastern [dot] edu