Dan Fu - UCSD (original) (raw)

I'll be joining UCSD as an assistant professor starting January 2026. I'm recruiting talented students to join my lab! In the mean time I'm building a world-class kernels team at Together AI. Please reach out if you're interested in working with me in either role!

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 an assistant professor at UCSD leading the SandyResearch Lab and affiliated with the MLSys group. I'm also a Distinguished Research Scientist at Together AI. My research focuses on making machine learning models faster and more efficient. 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. At Together AI, I'm thrilled to be building a world-class kernels team.

Selected Research Interests:

• Hardware-aware algorithms for ML - how can we build the best systems & kernels algorithms for ML primitives like attention on modern hardware? ThunderKittens, ThunderMLA, FlashAttention, FlashFFTConv
• Efficient ML architectures - how do we change ML models to scale better along, e.g. sequence length? Chipmunk, Hungry Hungry Hippos, Monarch Mixer

Some links:

• My lab website: SandyResearch
• How I Structure Introductions to Research Papers
• The Coffee Experiment
• Stanford MLSys Seminar on YouTube (we started during the pandemic)