Sujay Sanghavi

Sujay Sanghavi is a Professor and Fluor Centennial Teaching Fellow in the Chandra Department of Electrical and Computer Engineering at The University of Texas at Austin. He is also a Principal Research Scientist and Amazon Scholar at Amazon, and Associate Director of the Amazon Science Hub at UT Austin. He directs the NSF TRIPODS Institute at UT Austin and serves on the Scientific Board of the Center for Generative AI.

Education:

• PhD in Electrical and Computer Engineering, University of Illinois at Urbana-Champaign (UIUC)
• Postdoctoral Research, Massachusetts Institute of Technology (MIT)

Research Interests:

• Machine learning systems and networking
• Large-scale model architecture and training
• Theoretical foundations of machine learning
• High-dimensional data analysis and optimization
• Robust algorithms for noisy data

Scientific Awards:

• NSF CAREER Award (2010)
• Fluor Centennial Teaching Fellowship #2

Industry Experience: Former Visiting Scientist at Google Research and senior quant at Engineers Gate hedge fund (algorithmic trading team). Current roles at Amazon focus on search systems.