Expertise

Topics:  Artifical Intelligence, Motion Control, Robotics Foundations, Learning and Classification, Self-Driving Cars, Reinforcement Learning, Motion Planning, Multi-Robot Planning & Coordination, Deep Learning, Data Mining

Industries: Computer Networking, Education/Learning

Dr. Schneider's research interests are in all areas of machine learning and data mining. He has over 15 years experience developing, publishing, and applying machine learning algorithms in government, science, and industry. He has over a hundred publications and has given numerous invited talks and tutorials on the subject. His student Ian Char, a doctoral candidate in the Machine Learning Department, used reinforcement learning to control the hydrogen plasma of the tokamak machine at the DIII-D National Fusion Facility in San Diego.

Dr. Schneider was the co-founder and CEO of Schenley Park Research, Inc. (SPR), a company dedicated to bringing new machine learning algorithms to industry. Later, he developed a new machine-learning based CNS drug discovery system and spent a two-year sabbatical as the Chief Informatics Officer of Psychogenics, Inc. to commercialize the system. During his most recent sabbatical he helped launch Uber's self driving car program in Pittsburgh where he built autonomy, data science, and machine learning teams.

Jeff does consulting on a regular basis. Through his work at CMU and his commercial and consulting efforts, he has worked with several dozen companies and government agencies including ten Fortune 500 companies, and many international groups around the world.

Media Experience

Power Shift: How CMU Is Leading America’s Energy Evolution  — CMU News
From reimagining AI data centers to modernizing and securing the electric grid, CMU researchers are working on practical solutions to pressing challenges in how the U.S. produces, moves and secures energy. “Many of the world's grand challenges like a sufficient food supply, clean water availability and climate issues are actually just energy problems," says Jeff Schneider, a research professor in CMU’s School of Computer Science. "Nuclear fusion and its promise of limitless clean energy would solve many of them."

CMU Experts at the Intersection of Energy and Innovation  — CMU News
Carnegie Mellon University experts are developing practical solutions for a fast-changing energy system. "This moment in energy history is unique because AI will play a central role in accelerating the development, optimization and operation of our energy sources,"says Jeff Schneider, Research Professor in Carnegie Mellon University's Robotics Institute. "Generative AI models now usefully represent and exploit the domain knowledge for these tasks while reinforcement learning and other discovery and control learning algorithms can now solve real-world problems much faster than the old human-only method of making technological progress.

Research Using AI in Energy Applications at CMU Showcases the Frontier of Opportunities  — Carnegie Mellon University
Using AI could help unlock a new potential source of energy to solve that problem, including work by Jeff Schneider, research professor in the School of Computer Science, and his research team studying nuclear fusion.