About
George A. Alvarez is a Fred Kavli Professor of Neuroscience at Harvard University's Department of Psychology, part of the Faculty of Arts and Sciences. He co-directs the Vision Sciences Laboratory, focusing on understanding how the brain and machines process visual information. His research integrates cognitive neuroscience, computer vision, and deep learning to explore visual representation formats and their impact on perception and cognition.
Education: B.A. from Princeton University, Ph.D. from Harvard University, and postdoctoral training at MIT. His work emphasizes the intersection of human and artificial vision, including attention, working memory, and efficient coding strategies. He teaches advanced courses like 'Biological and Artificial Visual Systems' and chairs Harvard Psychology's Diversity, Inclusion, and Belonging Committee.
Research highlights include studying visual working memory capacity, hemifield attentional mechanisms, and the role of deep learning models in predicting human visual responses. His lab develops tools like VISCNN for interpreting CNNs and investigates how task demands shape neural representations. Recent articles explore large language models' predictive power over brain activity and contrastive learning's role in visual cortex modeling.
Grants and collaborations include NSF-funded projects on visual cognition and NIH grants for neurocognitive studies. His work bridges computational models with human experiments, aiming to advance both fields through 'virtuous cycles' of discovery.
