I am an Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and Electrical Engineering at Stanford University. I work on making machine learning more reliable, human-compatible and statistically rigorous, and am especially interested in applications in human disease and health. I received my Ph.D from Harvard in 2014, and was at one time a member of Microsoft Research, a Gates Scholar at Cambridge and a Simons fellow at U.C. Berkeley. I joined Stanford in 2016 and am excited to also be a Chan-Zuckerberg Investigator. We are also a part of the Stanford AI Lab.
Dr. Serena Yeung is an Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering at Stanford University. Her research focus is on developing artificial intelligence and machine learning algorithms to enable new capabilities in biomedicine and healthcare. She has extensive expertise in deep learning and computer vision, and has developed computer vision algorithms for analyzing diverse types of visual data ranging from video capture of human behavior, to medical images and cell microscopy images.
Dr. Wernig is a Professor in the Departments of Pathology and Chemical and Systems Biology and Co-Director of the Institute for Stem Cell Biology and Regenerative Medicine at Stanford University. He graduated with an M.D. Ph.D. from the Technical University of Munich where he trained in developmental genetics in the lab of Rudi Balling. After completing his residency in Neuropathology and General Pathology at the University of Bonn, he then became a postdoctoral fellow in the lab of Dr. Rudolf Jaenisch at the Whitehead Institute for Biomedical Research/ MIT in Cambridge, MA.
Originally from Wuhan, China, Tan received his S.B. in Physics (minor: Biology) from MIT in 2012, studying evolution with Jeff Gore and Pardis Sabeti. He earned his Ph.D. in Systems Biology from Harvard in 2018, developing high-precision methods for single-cell genomics with Sunney Xie. He uncovered the 3D structure of the human genome in a single cell, revealed unique chromosome organization in the mouse eye and nose, and measured the true mutation spectrum of single neurons in the normal human brain.
Thomas Christian Südhof was born in Göttingen, Germany, on Dec. 22 in 1955, obtained his M.D. and doctoral degrees from the University of Göttingen in 1982. He performed his doctoral thesis work at the Max-Planck-Institut für biophysikalische Chemie in Göttingen with Prof. Victor P. Whittaker on the biophysical structure of secretory granules. From 1983-1986, Südhof trained as a postdoctoral fellow with Drs. Mike Brown and Joe Goldstein at UT Southwestern in Dallas, TX, and elucidated the structure, expression and cholesterol-dependent regulation of the LDL receptor gene.
Ivan Soltesz received his doctorate in Budapest and conducted postdoctoral research at universities at Oxford, London, Stanford and Dallas. He established his laboratory at the University of California, Irvine, in 1995. He became full Professor in 2003, and served as department Chair from 2006 to July 2015. He returned to Stanford in 2015 as the James R. Doty Professor of Neurosurgery and Neurosciences at Stanford University School of Medicine.
Professor Mehrdad Shamloo has held several positions at various biopharmaceutical companies in the San Francisco Bay Area, with demonstrated extensive focus on both CNS drug discovery and pre-clinical development. In 2008, Dr. Shamloo joined Stanford University and established the Behavioral and Functional Neuroscience Core Laboratory (BFNL), as well as his own research laboratory which focused on the furtherment of understanding of normal and pathological brain functions in neurological disorders such as Alzheimer’s disease (AD), Parkinson’s disease (PD), stroke and autism.