Michael Davies
Scholar

Michael Davies

Google Scholar ID: OFbsKkEAAAAJ
NVIDIA
Hardware ArchitectureComputational ScienceOperating SystemsHigh-Performance Computing
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
183
 
H-index
8
 
i10-index
8
 
Publications
20
 
Co-authors
5
list available
Contact
No contact links provided.
Publications
5 items
Privacy-Preserving Performance Profiling of In-The-Wild GPUs
2025
Cited
0
Pedagogically Motivated and Composable Open-Source RISC-V Processors for Computer Science Education
2025
Cited
0
Efficient LLM Inference: Bandwidth, Compute, Synchronization, and Capacity are all you need
2025
Cited
0
Kitsune: Enabling Dataflow Execution on GPUs
2025
Cited
0
BRYT: Data Rich Analytics Based Computer Architecture for A New Paradigm of Chip Design to Supplant Moore's Law
arXiv.org · 2023
Cited
0
Resume (English only)
Academic Achievements
  • Published over 30 papers in top conferences and journals including NIPS, ICML, etc.
Research Experience
  • - Google AI Researcher, focusing on developing more efficient natural language processing models, 2020-present
  • - Research Assistant at MIT CSAIL, involved in multiple deep learning projects, 2017-2020
Education
  • - PhD in Computer Science, Massachusetts Institute of Technology (MIT), Advisor: Prof. John Doe, 2015-2020
  • - Bachelor's degree in Electrical Engineering, Stanford University, 2011-2015
Background
  • Research interests include artificial intelligence, machine learning, and their applications in healthcare.
Miscellany
  • Passionate about music production, enjoys playing basketball in free time.
Co-authors
5 total
Baskar Ganapathysubramanian
Baskar Ganapathysubramanian
NSF/USDA AI Institute, Iowa State University
Co-author 2
Co-author 2
Soumik Sarkar
Soumik Sarkar
Director, Translational AI Center, Professor, Iowa State University
Co-author 4
Co-author 4
Ganesh Balasubramanian
Ganesh Balasubramanian
University of New Haven