Kawin Setsompop is an Associate Professor of Radiology and, by courtesy, of Electrical Engineering. His research focuses on the development of novel MRI acquisition methods, with the goal of creating imaging technologies that can be used to help better understand brain structure and function for applications in Healthcare and Health sciences. He received his Master’s degree in Engineering Science from Oxford University and his PhD in Electrical Engineering and Computer Science from MIT. Prior to joining Stanford, he was a postdoctoral fellow and subsequently a faculty at the A.A.
Birgitt Schüle, MD, is an Associate Professor in the Department of Pathology at Stanford University School of Medicine. Her research focuses on medical genetics and stem cell modeling to uncover disease mechanisms and pathways involved in neurodegeneration in Parkinson's disease and related disorders. She is dedicated to developing novel therapeutic strategies that contribute to the advancement of precision medicine.
Michelle Odden, PhD, is an Associate Professor in the Department of Epidemiology and Population Health and an Investigator in the Geriatric Research, Education, and Clinical Center at the VA Palo Alto Health Care Center. Her research aims to improve our understanding of the optimal preventive strategies for chronic disease in older adults, particularly those who have been underrepresented in research including the very old, frail, and racial/ethnic minorities.
Dr. Montine received his education at Columbia University (BA in Chemistry), the University of Rochester (PhD in Pharmacology), and McGill University (MD and CM). His postgraduate medical training was at Duke University, and he was junior faculty at Vanderbilt University where he was awarded the Thorne Professorship in Pathology. In 2002, Dr. Montine was appointed as the Alvord Endowed Professor in Neuropathology and Director of the Division of Neuropathology at the University of Washington.
Dr. Jonathan Long is an Associate Professor of Pathology and an Institute Scholar of Stanford ChEM-H (Chemistry, Engineering & Medicine for Human Health). His laboratory studies signaling pathways in mammalian energy metabolism. The long-term goal of this program is to discover new molecules and pathways that can be translated into therapeutic opportunities for obesity, metabolic disease, and other age-associated chronic diseases. Work from the laboratory has been recognized by numerous awards from the Alfred P.
Scott is an Assistant Professor of Statistics and, by courtesy, Electrical Engineering and Computer Science at Stanford University. He is also an Institute Scholar in the Wu Tsai Neurosciences Institute and a member of Stanford Bio-X and the Stanford AI Lab. His lab works at the intersection of machine learning and computational neuroscience, developing statistical methods to analyze large-scale neural data.
Anshul Kundaje is Associate Professor of Genetics and Computer Science at Stanford University. His primary research area is large-scale computational regulatory genomics.