Dan Fu
Assistant Professor
Computer Science and Engineering Department
University of California, San Diego
Academic Partner, Together AI
Previously: PhD, Department of Computer Science, Stanford University
Research Interests: machine learning and systems, with a focus on efficiency
About Me
I'll be joining UCSD as an assistant professor starting January 2026. I'll be recruiting graudate students in the fall 2024 cycle! In the mean time I'll be spending some time hacking at Together AI.
If you're interested in working with me as a PhD student, please send me an email with your resume and interests, and apply for UCSD. I can't respond to all the emails, but I promise I read all of them!
I'm a final-year Computer Science PhD candidate at Stanford, where I'm co-advised by Chris Ré and Kayvon Fatahalian, affiliated with the Stanford AI Lab, Stanford CRFM, the Stanford Machine Learning Group, DAWN, and the Stanford Computer Graphics Lab. I'm also an academic partner with Together AI.
In my research, I develop more efficient algorithms for ML, with a focus on developing solutions that are both theoretically efficient and practically effective. Recently, I've been working on efficient ML architectures that scale sub-quadratically in sequence length and model dimension, and hardware-aware systems algorithms to translate these theoretical gains to practical savings. I'm also excited to apply these algorithms to new scientific and medical applications.
I started the Stanford MLSys Seminar Series in Fall 2020, and I'm excited to see it grow to more than 16,000+ subscribers since then, with 30,000+ monthly views. Check us out on YouTube!