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Jeff Schneider
Research Professor at Carnegie Mellon University
Jeff Schneider is a prominent Research Professor at Carnegie Mellon University (CMU), specifically within the School of Computer Science. He has been with CMU since July 1998, contributing significantly to the fields of machine learning, data mining, and autonomous systems. His research interests encompass various areas, including active learning, reinforcement learning, optimization, and intelligent control, with a strong focus on applying these methods to real-world industrial and commercial challenges .126
Education and Early Career
Dr. Schneider earned his Bachelor of Science in Computer Science from Michigan State University and later obtained a PhD in Computer Science from the University of Rochester. Before his tenure at CMU, he co-founded Schenley Park Research, Inc., where he worked on integrating machine learning algorithms into industry applications. He also held the position of Chief Informatics Officer at PsychoGenics, where he developed a machine learning-based system for CNS drug discovery .136
Contributions to Industry
In addition to his academic role, Schneider served as the Engineering Lead at Uber's Advanced Technologies Group from February 2015 to September 2018, where he played a crucial role in developing their self-driving car technology. His extensive experience includes over 100 publications and numerous invited talks that highlight his expertise in machine learning applications across various sectors .135
Recent Involvements
Most recently, Dr. Schneider was appointed to the Board of Directors of Inverted AI, where he will leverage his expertise in machine learning and autonomous systems to drive innovation within the company .3 His ongoing research continues to impact both academic and practical realms, particularly in advancing technologies related to autonomous vehicles and behavioral modeling .46
Dr. Schneider's work exemplifies a blend of academic rigor and practical application, making him a significant figure in the advancement of artificial intelligence and machine learning technologies.


