Qi Chen

I am an Applied Scientist at AWS AI Labs, where I build LLM-powered coding agents. My research focuses on test-time scaling, benchmark design, and agentic reinforcement learning, with the goal of scaling agents toward fully autonomous, long-horizon software development tasks. I am particularly interested in coding as a universal interface – a medium through which humans and agents can collaboratively shape the digital world.

Prior to Amazon, I received my Ph.D. in Applied Mathematics from Peking University (2023), advised by Prof. Zhouchen Lin, Prof. Yisen Wang, and Prof. Jiansheng Yang. My doctoral research focused on deep equilibrium models (infinitely deep neural networks) for context learning, with applications to computer vision and graph learning.

I’m open to collaboration! Feel free to email me if you’re interested in working together.