Ehsan Adeli

Dr. Ehsan Adeli is well-known for his pioneering work in the intersection of machine learning, computer vision, and neuroscience. As a Clinical Assistant Professor in Psychiatry and Behavioral Sciences at Stanford University, he has dedicated his career to advancing our understanding of neurodegenerative and neuropsychiatric diseases. His research is particularly focused on the innovative use of machine learning and computer vision techniques to analyze human activities and behaviors from video data, linking these observations to brain activity as captured through MRI scans. Dr. Adeli's work is driven by the goal of uncovering the intricate connections between brain disorders and everyday life activities. By employing explainable machine learning algorithms, he aims to provide insights that are not only scientifically robust but also accessible to clinicians and researchers. His contributions to the field have been recognized with numerous accolades, underscoring his impact on both the scientific community and the broader field of healthcare. In addition to his research, Dr. Adeli holds editorial positions in several prestigious journals, where he contributes to shaping the future directions of research in his areas of expertise. His commitment to academic excellence and innovation is evident in his active involvement in the scientific community, where he frequently collaborates with other leading experts in the field. Dr. Adeli's academic journey has been marked by a series of significant achievements, reflecting his deep commitment to advancing the frontiers of knowledge in computational neuroscience and neuroimaging. His affiliation with the Center for Artificial Intelligence in Medicine & Imaging (AIMI) further highlights his dedication to integrating cutting-edge technology with medical research to improve patient outcomes. At Stanford, Dr. Adeli is based in the Gates Computer Science Building, where he continues to push the boundaries of what is possible in the realm of healthcare and technology. His work not only enhances our understanding of complex brain disorders but also paves the way for new diagnostic and therapeutic approaches that can transform the lives of patients worldwide.