School of Medicine
Showing 51-60 of 74 Results
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Varsha Rajesh
Research Associate in Functional Genomics, Pediatrics - Endocrinology
Current Role at StanfordLife Science Research Professional at Translational Genomics of Diabetes Lab.
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David Scheinker
Clinical Professor, Pediatrics - Endocrinology and Diabetes
BioDavid Scheinker is the Executive Director of Systems Design and Collaborative Research at the Stanford Lucile Packard Children's Hospital. He is the Founder and Director of SURF Stanford Medicine, a group that brings together students and faculty from the university with physicians, nurses, and administrators from the hospitals. SURF has implemented and published dozens of projects demonstrating improvements to the quality and efficiency of care. His areas of focus include clinical care delivery, technical improvements to hospital operations, sensor-based and algorithm-enabled telemedicine, and the socioeconomic factors that shape healthcare cost and quality.
Before coming to Stanford, he was a Joint Research Fellow at The MIT Sloan School of Management and Massachusetts General Hospital. He received a PhD in theoretical math from The University of California San Diego under Jim Agler. He advises Carta Healthcare, a healthcare analytics company started by former students. -
Sejal Shah
Clinical Assistant Professor, Pediatrics - Endocrinology and Diabetes
Current Research and Scholarly InterestsMy primary research interest is evaluating whether vitamin D supplementation can positively affect consequences of the metabolic syndrome in overweight and obese adolescents. Other research interests include evaluating the efficacy and biochemical profiles of various types of estrogen replacement in adolescent females.
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Seth Andrew Sharp
Postdoctoral Scholar, Endocrinology and Metabolism
BioSeth is a Postdoctoral Fellow in the Translational Genomics of Diabetes lab located at Stanford Research Park under the supervision of Professor Anna Gloyn. Seth completed a B.E. in Applied Mathematics before studying a PhD at the University of Exeter with Dr Richard Oram where he researched the use of genetics to predict common autoimmune disorders. Seth studied at the Alan Turing Institute in London where he used machine learning and artificial intelligence methods to predict autoimmunity and has worked collaboratively to improve screening of Type 1 diabetes from birth. Seth's postdoctoral studies focus on using genetic, transcriptomic and epigenetic data to understand the mechanisms by which both Type 1 and Type 2 diabetes occur in the human pancreas. He is also interested in ways to quantify genetic risk such as polygenic risk scores and their application in both research and clinic.