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.