Matt Jones

Matt Jones is a Professor in the Department of Cognitive Psychology and Neuroscience at the University of Colorado, affiliated with the Institute of Cognitive Science. He holds a PhD from the University of Michigan (2003). His research focuses on human learning mechanisms, computational modeling of cognitive processes, and applications in clinical and occupational settings. Key interests include reinforcement learning, perceptual knowledge, and the development of algorithms inspired by human cognition.

His work spans interdisciplinary domains such as neurocognitive interventions for irritability, safety in construction via VR/AR technologies, and robust machine learning systems. Notable areas of exploration include Bayesian methods for online learning, neuroplasticity in behavioral therapy, and the dynamics of pain perception.

Recent publications highlight contributions to algorithmic robustness, human-AI interaction, and computational psychiatry. His lab investigates how temporal structure influences learning and applies these insights to improve training protocols and clinical outcomes. No scientific awards are explicitly listed, though his work includes collaborations on grants related to cognitive modeling and safety engineering.

Matt leads the Jones Laboratory, focusing on bridging theoretical models with practical applications in education, healthcare, and occupational safety. His research integrates behavioral experiments with advanced computational techniques, emphasizing translational impact across disciplines.