Tom St. John is a staff machine learning scientist at Tesla, where he leads the distributed machine learning performance optimization efforts within the Autopilot organization. He also serves as the chair of the MLPerf automotive advisory board. Prior to his current role, he served as the director of the AI Co-Design Center at Wave Computing. 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. His work has resulted in a number of patents and publications, including a best paper award at ADAPT’14.