Luis Ortiz

Luis Ortiz is an Associate Professor in the Department of Computer and Information Science at the University of Michigan's College of Engineering and Computer Science. He holds a Ph.D. in Computer Science from Brown University and completed postdoctoral training at MIT and the University of Pennsylvania.

His research bridges computational game theory, artificial intelligence, and probabilistic modeling with applications in autonomous systems, economics, and complex networks. Key focus areas include:

• Multi-agent reinforcement learning for autonomous driving
• Graphical models and game-theoretic equilibria
• Strategic behavior in networked systems
• Probabilistic inference and machine learning

Recent publications explore reinforcement learning for highway automation and variational methods in probabilistic modeling. Dr. Ortiz has led NSF-funded projects including RI:Small:Collaborative Research:Influence Games and CAREER grants on the integration of graphical models and game theory.