Welcome!
I'm Peter, a researcher studying theoretical computer science and large scale data systems.
My research aims to understand the mathematical and algorithmic processes of representation learning, compression, and memory in modern machine learning systems.
Email: li.pet [at] northeastern [dot] edu
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 large language model inference.
In the past, I've:
- Built browser agents at Composite
- Researched and applied zero-knowledge cryptography at a venture-backed startup
- Zikun Wang - CS PhD student at Northeastern University
- Diego Rivera Correa - CS PhD student at Northeastern University
- Rigel Galgana - Operations Research PhD student at MIT