Stanford University
Showing 26,901-26,950 of 34,447 Results
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Stylianos (Stelios) Serghiou
Assistant Professor of Epidemiology and Population Health and of Medicine (Computational Medicine)
Current Research and Scholarly InterestsThe Serghiou Lab builds the foundations of virtual medicine: AI-native systems, rigorously evaluated in real-world settings, that make high-quality care proactive, personalized, continuous, and accessible at scale. Integrating clinical records, remote monitoring, and patient-reported outcomes with published evidence, we develop and evaluate agentic systems that extend clinical capacity, accelerate rigorous and reproducible research, and empower patients to live their healthiest lives.
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Shebani Sethi MD, ABOM
Clinical Associate Professor, Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsImproving metabolic and mental health through dietary metabolic therapies, pharmacological optimization, and other lifestyle interventions in those with severe mental illness, such as bipolar disorder, schizophrenia, major depression is a major focus of her research. Clinical and academic interests include management of psychiatric disorders with co-morbid obesity, insulin resistance, metabolic dysfunction and/or eating disorders, particularly binge eating disorder and bulimia nervosa.
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Kawin Setsompop
Professor of Radiology (Radiological Sciences Laboratory) and, by courtesy, of Electrical Engineering
BioKawin Setsompop is a 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. Martinos center for biomedical imaging, MGH, as well as part of the Harvard and MIT faculty. His group has pioneered several widely-used MRI acquisition technologies, a number of which have been successfully translated into FDA-approved clinical products on Siemens, GE, Phillips, United Imaging and Bruker MRI scanners worldwide. These technologies are being used daily to study the brain in both clinical and neuroscientific fields.
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Prasad Setty
Lecturer, Graduate School of Business - Other Faculty
BioPrasad’s expertise is in the science and practice of helping people and organizations grow and scale. As an established thought leader and seasoned executive, Prasad’s insights are derived from his experience in the corporate world, academia and advisory roles.
At Stanford’s Graduate School of Business, Prasad co-teaches an MBA course on trends shaping the world of work. He serves as an independent advisor to companies including BetterUp, DataStax, and Grab on people, culture and organizational matters.
Previously, Prasad was at Google for 15 years, and founded their renowned People Analytics team in 2007. Under his leadership, Google undertook highly influential and well-known research initiatives including Project Oxygen and Project Aristotle to enable great managers and teams. Prasad expanded his role in People Operations (i.e., Google’s HR function) to also lead compensation, benefits and performance management for Google. He helped shape Google’s approach to attracting, developing and retaining talent, and worked closely with the management team and the board of directors to grow the workforce ten-fold over his tenure.
Prasad later took on a role as Vice President, Digital Work Experience in Google Workspace and focused on making the experience of digital work productive, sustainable, healthy and inclusive for the billions of users of Google Workspace products (including Gmail, Calendar, Docs, Meet).
Before joining Google, Prasad was vice president of workforce analytics at Capital One. Earlier, he was a consultant with McKinsey & Company.
He holds an MBA from the Wharton School where he graduated as a Palmer Scholar. He continues his association with Wharton, serving on the advisory board for executive education. He also has a master’s degree in chemical engineering from Carnegie-Mellon University and a bachelor’s degree in chemical engineering from IIT, Chennai, India. -
Shaun P. Setty
Clinical Assistant Professor, Cardiothoracic Surgery
BioDr. Setty is Surgical Director of the Cardiac Intensive Care Unit, Director of Global Cardiac Care, and a member of the pediatric cardiac surgery team. Dr. Setty completed his general surgery residency at Oregon Health Sciences University and spent an infolded year during his training at Green Lane Hospital in New Zealand as a research and pediatric/ adult cardiac surgery fellow. He then spent 3 years at the University of Minnesota/ Lillehei Heart Institute, the birthplace of cardiac surgery, completing his cardiothoracic surgery training. He performed his congenital heart surgery fellowship at the Royal Children’s Hospital in Melbourne, Australia. Dr. Setty is triple-board-certified in surgery, thoracic surgery, & congenital heart surgery. He has past experience in all aspects of pediatric and adult congenital cardiac surgery including neonatal and transplant surgery. He is a member of the medical school honor society, Alpha Omega Alpha. Dr. Setty also has numerous peer-reviewed publications, book chapters, and research presentations to his credit.
His current research focus includes: cardiac surgery outcomes with genetic syndromes, social determinants of health and its effect on cardiac surgery outcomes, big data in international cardiac surgery humanitarian centers, and the epigenetic delineation of congenital heart disease. -
Muhannad Seyam, MD
Clinical Instructor, Adult Neurology
Current Research and Scholarly InterestsDr. Seyam develops phenotyping, biomarker, and computational methods for measuring disease activity and predicting treatment response in neuromuscular disease. His work spans immune-mediated neuromuscular disease, ALS, and muscle disease, and applies artificial intelligence across the neuromuscular diagnostic workflow and in translational research.
