Yuchen Zhu 朱雨宸

Hi, I am Yuchen Zhu, a final-year Machine Learning PhD at Georgia Tech, advised by Molei Tao and Yongxin Chen.

I work on generative AI. My research centers on advancing agentic LLMs from data-centric and system perspectives, with current focus on coding agents. In parallel, I push the speed–intelligence frontier of LLM through diffusion language models (dLLMs), from both the algorithmic and system perspectives. I am also broadly interested in diffusion models for probabilistic inference and applications across images, video, and the sciences.

During Summer 2026, I am a Research Scientist Intern at NVIDIA, exploring frontier agentic LLMs.

During Spring 2026, I was fortunate to work with Jiuxiang Gu and Jing Shi as a Research Scientist Intern at Adobe Research, building efficient & capable dLLMs at scale.

I graduated with BS in Mathematics (Honors) from NYU Shanghai and MA in Statistics from Yale University. My research started in applied mathematics, optimal control and RL theory, and has since evolved toward generative AI — a path that still informs how I think about modeling and inference today.

You can find more details in my CV here.

📧 Feel free to reach out: yzhu738@gatech.edu / yuchenzhu0226@gmail.com