Mike Mozer

Michael Mozer is a Research Professor at the University of Colorado Boulder, affiliated with the Institute of Cognitive Science and the Department of Computer Science. His research bridges human cognition and machine learning, focusing on improving human learning through AI tools and designing cognitively informed AI architectures. He leads the Mozer Lab and collaborates with Google Brain. Key projects include the 'Adaptive House' (self-learning home systems), smart digital textbooks for optimized learning, and the Colorado Optimized Language Tutor.

Mozer's research interests span cognitively informed AI, human optimization, cognitive modeling, and intelligent environments. He has contributed to neural networks, reinforcement learning, and the integration of human psychological insights into ML systems. His work on adversarial image manipulations and object-centric learning highlights his exploration of human-machine perception synergies.

Teaching focuses on machine learning, neural networks, and computational modeling. He has developed courses like 'Neural Networks and Deep Learning' and mentored numerous students in interdisciplinary projects. Mozer’s affiliations include the Institute for Cognitive Science, the Neuroscience Program, and the Temporal Dynamics of Learning Center.