Analysis of Multimodal Brain Images

Advances in imaging technologies have enabled superbly fine-resolution in-vivo examination of the human brain. We are developing deep learning, statistical, and optimization frameworks to aid in the interpretability of the brain and cognition through methods for discovering the relationship between input images and brain responses and how the functional and structural networks interrelate.

Affiliated People

Research interests: 

Christos is a PhD student in the Computer Science department at UC Santa Barbara. His research lies in the intersection of machine learning and neuroscience. Concretely, he’s interested in building robust frameworks for tasks like fMRI to image reconstruction, based on neuro-inspired optimization and transfer learning with manifold analysis. He got his Bachelors and Masters in Electrical and Computer Engineering from the University of Patras in Greece.