Michael Poli
Scholar

Michael Poli

Google Scholar ID: RgIBwboAAAAJ
Stanford University
machine learningsignal processingdynamical systemsmachine learning systems
Citations & Impact
All-time
Citations
3,353
 
H-index
21
 
i10-index
27
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • Publications: Published Evo on the cover of Science; Other projects: Hyena, HyenaDNA, StripedHyena, Zoology, Mechanistic Architecture Design, Hypersolvers, Differentiable Multiple Shooting, RTF, LaughingHyena.
Research Experience
  • Position: Leader of a research group at Liquid AI; Research projects: Building hardware-aware, custom, and efficient AI systems; Collaborations: Hazy Research, Stanford AI Lab (SAIL), Center for Research on Foundation Models (CRFM).
Education
  • Degree: Ph.D. in Computer Science; School: Stanford University; Advisor: Stefano Ermon; Time: Not explicitly stated; Major: Computer Science.
Background
  • Research interests: machine learning, systems, and signal processing. Focus areas include architecture design, automation and understanding of the design process, evolutionary synthesis, etc. Bio: Ph.D. student in Computer Science at Stanford University, Founding Scientist at Liquid AI.
Miscellany
  • Personal interests: Interested in 'full-stack' design of large deep learning models, from numerics to training, fine-tuning, and deployment. Chinese name: 宁致远. Spent 5 years living in China and South Korea.