Qi Zeng 曾祺


Photo taken at Allatoona Lake

Atlanta, GA

Hello! I’m Qi Zeng (曾祺), a graduate student pursuing the Master of Engineering degree in Electrical Engineering and Computer Science at University of California, Berkeley. Welcome to my personal page!

I received my Bachelor of Science degrees in Mathematics and Computer Science from Georgia Institute of Technology. On September 2021 I joined Florian Schäfer’s and Spencer Bryngelson’s research group at Georgia Tech. Our research aim to improve Physics Informed Neural Networks (PINNs) to solve partial differential equations, check out our work on Competitive Physics Informed Neural Network.

I’m looking for a fulltime job opportunity in machine learning related fields starting in summer 2024. My CV is available here.


Sep 8, 2023 This year I will be working on a capstone project of applying deep learning methods to time series.
Aug 23, 2023 First day of class at Berkeley.
May 6, 2023 I graduated from Georgia Tech!!
Apr 13, 2023 I received the 2023 Outstanding Undergraduate Researcher Award from the College of Computing at Georgia Tech!
Mar 21, 2023 I have been admitted to University of California, Berkeley for the Master of Engineering in Electrical Engineering and Computer Science program.
Jan 24, 2023 Spencer Brygelnson, one of the advisors for CPINN, will give a talk on competitive optimization methods at the next DDPS Webinar at Lawrence Livermore National Laboratory.
Jan 20, 2023 The paper Competitive Physics Informed Neural Network has been accepted to the 11th International Conference on Learning Representations! Joint work with Yash Kothari, Florian Schäfer and Spencer Bryngelson.