Author

Tom St. John is a software engineer at Meta AI where he is the technical lead for MTIA performance. He also serves as the chair of the MLPerf automotive advisory board. Prior to his current role, he served as the technical lead for the Compute Platforms Group at Cruise and led the distributed machine learning performance optimization efforts within Tesla Autopilot. His research primarily focuses on the intersection of parallel programming models and computer architecture design, and the impact that this has on large-scale machine learning. He completed his M.S. and Ph.D. at the University of Delaware and B.S. at Rutgers University. His work has resulted in a number of patents and publications, including several best paper awards.