Vince Calhoun

Vince Calhoun, PhD, is a Research Professor at Yale School of Medicine. His research integrates neuroimaging, machine learning, and neuroscience to study brain connectivity in disorders like Alzheimer's disease and schizophrenia. He earned his MS from Johns Hopkins University (1996) and PhD from the University of Maryland (2002).

Research Focus: Dr. Calhoun's work centers on developing advanced fMRI analysis methods, including dynamic functional connectivity and multimodal MRI techniques. His interests span neuroinformatics, brain network modeling, and AI-driven diagnostics for neurological and psychiatric conditions.

Recent Publications: His 15 latest articles (2024-2025) focus on machine learning applications in neuroimaging, such as federated learning for data privacy, graph neural networks for intelligence mapping, and predictive modeling of cognitive decline. Key themes include explainable AI, neurodevelopmental disorders, and cross-modal data fusion.