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Professor of Biomedical Data Science and of Statistics
Current Research and Scholarly InterestsStatistical models and reasoning are key to our understanding of the genetic basis of human traits. Modern high-throughput technology presents us with new opportunities and challenges. We develop statistical approaches for high dimensional data in the attempt of improving our understanding of the molecular basis of health related traits.
Professor of Management Science and Engineering
BioAmin Saberi is Professor of Management Science and Engineering at Stanford University. He received his B.Sc. from Sharif University of Technology and his Ph.D. from Georgia Institute of Technology in Computer Science. His research interests include algorithms, design and analysis of social networks, and applications. He is a recipient of the Terman Fellowship, Alfred Sloan Fellowship and several best paper awards.
Amin was the founding CEO and chairman of NovoEd Inc., a social learning environment designed in his research lab and used by universities such as Stanford as well as non-profit and for-profit institutions for offering courses to hundreds of thousands of learners around the world.
Associate Professor of Psychiatry and Behavioral Sciences (General Psychiatry and Psychology-Adult)
Current Research and Scholarly InterestsPrimary research interests include the nature and treatment of eating disorders
(particularly bulimia nervosa and binge eating disorder), the development and treatment of obesity, and the development and treatment of problematic eating patterns in patients following bariatric surgery.
Marc R. Safran, MD
Professor of Orthopaedic Surgery
Current Research and Scholarly InterestsDr. Safrans practice focuses on arthroscopic management of hip problems as well as articular cartilage regeneration, shoulder surgery and athletic shoulder and elbow problems. He is actively involved in research in these areas.
Elaine and John Chambers Professor of Pediatric Cancer and Professor of Genetics
Current Research and Scholarly InterestsWe investigate the mechanisms by which normal cells become tumor cells, and we combine genetics, genomics, and proteomics approaches to investigate the differences between the proliferative response in response to injury and the hyperproliferative phenotype of cancer cells and to identify novel therapeutic targets in cancer cells.
Assistant Professor (Research) of Psychiatry and Behavioral Sciences (Interdisciplinary Brain Science Research)
Current Research and Scholarly InterestsWe are a computational neuropsychiatry lab dedicated to developing computational methods to better understand brain’s overall dynamical organization in healthy and patient populations. We employ algorithms from a wide range of fields, including Applied Mathematics, Econometrics, Machine Learning, Biophysics, and Network Science.
Kathleen M. Sakamoto
Shelagh Galligan Professor in the School of Medicine
Current Research and Scholarly InterestsMy research focuses on the molecular pathways that regulate normal and aberrant blood cell development, including acute leukemia and bone marrow failure syndromes. We are also studying novel drugs for treatment of cancer.
Professor of Medicine (Cardiovascular) and of Radiology (Cardiovascular Imaging)
BioDr. Salerno completed his BS in Biological Engineering at Cornell University, and his MD and PhD in Biomedical Engineering at the University of Virginia as part of the Medical Scientist Training Program. He then completed the American Board of Internal Medicine Research Pathway with an Internal Medicine residency at Stanford University, and his general cardiology fellowship at Duke University Medical Center. During his time at Duke he completed a dedicated year in cardiovascular MRI at the Duke Cardiovascular MR Imaging Center. He returned to UVA in 2008 to complete a 2-year advanced cardiovascular imaging fellowship where he trained in CMR and cardiovascular CTA. He achieved COCATS Level III training in all cardiovascular imaging modalities (Echo, Nuclear, CMR, CCT), and is board certified in Echocardiography and Nuclear Cardiology. He served as faculty at UVA in Cardiology, Radiology, and Biomedical Engineering from 2010-2021 where he was the Director of Cardiac MRI and the Medical Director of Echocardiography, before returning to Stanford.
His research involves the development and evaluation of novel MRI pulse sequences and techniques to improve the clinical utility of CMR imaging. The current focus of the research is on quantitative myocardial perfusion imaging, quantitative imaging of myocardial fibrosis, rapid free-breathing and self-gated imaging, and deep learning for image reconstruction and post-processing. His laboratory includes undergraduate and graduate engineering students as well as clinical cardiovascular imaging fellows to bring new advances into clinical practice. Dr. Salerno has been in the field of MRI for 25 years and holds multiple patents related to the development and application of novel pulse sequences for MRI. He has received numerous research awards, and has published extensively in the areas of MRI, cardiovascular MRI and multi-modality cardiovascular imaging. His research has been supported by the AHA and the National Institutes of health. He is a deputy editor for JACC Cardiovascular Imaging.
Outside of work, Dr. Salerno enjoys sailing, rock climbing, skiing, running, biking, hiking, and spending time with his wife Cherie, and his two boys Christopher and Joseph.
J Kenneth Salisbury, Jr.
Professor (Research) of Computer Science and of Surgery (Anatomy), Emeritus
BioSalisbury worked on the development of the Stanford-JPL Robot Hand, the JPL Force Reflecting Hand Controller, the MIT-WAM arm, and the Black Falcon Surgical Robot. His work with haptic interface technology led to the founding of SensAble Technology, producers of the PHANToM haptic interface and software. He also worked on the development of telerobotic systems for dexterity enhancement in the operating room. His current research focuses on human-machine interaction, cooperative haptics, medical robotics, and surgical simulation.