Expertise

Topics:  Machine Learning, Artificial Intelligence, Autonomy, Robotics, Self-Driving Cars, Nuclear Fusion, National Defense, RL and LLMs/VLMs

Industries: Computer Networking, Education/Learning

Dr. Jeff Schneider is a research professor in the Carnegie Mellon University School of Computer Science where his research is on machine learning and autonomous systems. He has over 20 years experience developing, publishing, and applying machine learning algorithms in government, science, and industry. He has hundreds of publications and routinely gives invited talks and tutorials on the subject.

Jeff is also an entrepreneur. He was a founding member of Uber's Advanced Technologies Group and spent three years helping build their self driving car program. Before that, he developed a machine learning based CNS drug discovery system and commercialized it during two years as Psychogenics' Chief Informatics Officer. Earlier, he wasthe co-founder and CEO of Schenley Park Research, a company dedicatedto bringing machine learning to industry. Jeff serves on many scientific advisory boards and boards of directors. Through his research, commercial, and consulting efforts, he has worked with dozens of companies and government agencies 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.