Presenter

Tom St. John is a software engineer and technical lead at Meta where he serves as the AI training performance lead for the MTIA software team. 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 MS and PhD at the University of Delaware, and his BS at Rutgers University. His work has resulted in a number of patents and publications, including several best paper awards.