Daniel Y Fu
Scholar

Daniel Y Fu

Google Scholar ID: Nut_70MAAAAJ
Assistant Professor, UCSD
machine learningmachine learning systems
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Citations & Impact
All-time
Citations
5,183
 
H-index
17
 
i10-index
18
 
Publications
20
 
Co-authors
0
 
Contact
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Resume
Academic Achievements
  • Hardware-aware algorithms for ML: ThunderKittens, ThunderMLA, FlashAttention, FlashFFTConv; Efficient ML architectures: Chipmunk, Hungry Hungry Hippos, Monarch Mixer
Research Experience
  • Current: Assistant Professor, Computer Science and Engineering Department, University of California, San Diego; VP of Kernels, Together AI; Previously: PhD, Department of Computer Science, Stanford University
Education
  • PhD, Department of Computer Science, Stanford University
Background
  • Research Interests: machine learning and systems, with a focus on efficiency. About Me: Building a world-class kernels team at Together AI; Assistant Professor at UCSD leading the SandyResearch Lab and affiliated with the MLSys group; VP of Kernels at Together AI, focusing on low-level performance engineering and GPU kernels.
Miscellany
  • Links: Lab Website, How I Structure Introductions to Research Papers, The Coffee Experiment, Stanford MLSys Seminar (started during the pandemic)