Stanford University
Showing 27,371-27,380 of 35,037 Results
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Hitesh Seth
Affiliate, Graduate School of Business - Executive Education
BioI'm a hands-on technology executive and enterprise architect with 25+ years turning large-scale data, AI/ML, GenAI, and Agentic AI into production reality inside the world's most regulated industries — Financial Services, Insurance, and Life Sciences. I've built and led global engineering and architecture teams and shipped mission-critical platforms serving hundreds of millions of users and global clinical research programs.
Today I'm building Ādisūtra.ai — helping enterprises move from AI curiosity to AI capability, from first principles.
I enjoy mentoring emerging young leaders (especially young women, after being inspired from Grace Hopper Conferences), speaking and writing about enterprise AI, and learning from people with different experiences and perspectives. I’m excited to join this community and engage with fellow leaders who are shaping the future of business, technology, and society.
Outside of work, I enjoy portrait photography, golf, cooking and traveling… -
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.
