Yida Wang
Scholar

Yida Wang

Google Scholar ID: NvBZp6MAAAAJ
Amazon
HPCParallel computingBig data analytics
Citations & Impact
All-time
Citations
2,964
 
H-index
20
 
i10-index
33
 
Publications
20
 
Co-authors
83
list available
Resume (English only)
Academic Achievements
  • Has published peer-reviewed papers in top-tier systems conferences while at AWS. Specific details of these publications are not provided but can be found through the link provided on his page.
Research Experience
  • Currently leading an MLSys science team at AWS AI, Amazon. Previously worked at the Parallel Computing Lab at Intel Labs.
Education
  • Received Ph.D. in Computer Science and Neuroscience from Princeton University.
Background
  • Principal Scientist at AWS AI, Amazon. Leads a Machine Learning Systems (MLSys) science team focusing on optimizing systems and compilers for large foundation models to enhance their training and serving efficiency and reliability. Actively seeking talented scientists and engineers with expertise in machine learning systems, including distributed training and inference, deep learning compilers, and tensor program generation.
Miscellany
  • No specific personal interests or hobbies mentioned.