Qi Zeng 曾祺

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Photo taken at Allatoona Lake

Atlanta, GA

Hello! I’m Qi Zeng (曾祺), welcome to my personal page!

I received the Master of Engineering degree in Electrical Engineering and Computer Science at University of California, Berkeley on May 2024. Before my master’s I received my Bachelor of Science degrees in Mathematics and Computer Science from Georgia Institute of Technology.

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 interested in the intersection of machine learning and science. Over the past few years I’ve worked in AI + {PDE/biology/time series} and believe machine learning has the potential to be applied in ways that were previously unimaginable, opening up new possibilities and domains for exploration.

Currently I am working as a software engineer at Google Cloud AI to make Gemini better.

I’m always open to chat with anything interesting. Feel free to reach out!

news

Dec 9, 2024 I joined Google as a Software Engineer on the Cloud AI team, working on Gemini serving.
Sep 30, 2024 I joined TikTok Inc. as a Machine Learning Engineer on TikTok Recommendation systems.
Jun 17, 2024 This summer I’m working as a machine learning intern at Lamini AI building a PDF processing LLM agent.
May 16, 2024 I graduated from Cal!!
Aug 23, 2023 First day of class at Cal.
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.