Jerry Huang

PhD Student, Computer Science

Carnegie Mellon University

Photo of Jerry Huang

Hi! I am a PhD student in the Computer Science Department at Carnegie Mellon University, where I'm very lucky to be advised by Professor Nicholas Boffi.

My research is on generative modeling, where I've recently focused on making diffusion and flow-based models more efficient and controllable by distilling them into flow maps. More broadly, I am interested in how computation should be organized in generative models and adapted to different modalities, including via their learned representations, generative modeling method, or architecture. I also like to think about creativity in generative models and how humans interact with AI, e.g., through agent harnesses and workflows.

Previously, I received my B.S. at Caltech, where I researched quantum computing and online algorithms under the mentorship of Profs. John Preskill, Hsin-Yuan Huang, Adam Wierman, and Nicolas Christianson.

I'm happy to chat about research, potential collaborations, or advice on doing a PhD / getting into AI research. Feel free to reach me at jerryhua [at] andrew [dot] cmu [dot] edu.

Publications