Michael Grubb

Michael Grubb is an Assistant Professor Adjunct at Yale School of Medicine, researching cognitive mechanisms of attention and perception. His work bridges experimental psychology and computational approaches to understand information processing in visual systems.

His research examines how expectations, information value, and learning history shape attentional processes using eye-tracking and computational modeling.

Publications demonstrate progressive integration of machine learning methods with traditional cognitive psychology paradigms. Recent work shows strong trend toward computational modeling of attentional processes using deep learning approaches.

Research Areas:

• Attentional capture mechanisms
• Value-driven attention
• Information-seeking behaviors
• Computational modeling of perception

Dr. Grubb collaborates with researchers in neuroscience and artificial intelligence to develop predictive models of attention.