Endocrinology and Diabetes


Showing 1-8 of 8 Results

  • David Scheinker

    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

    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.

  • Seth Andrew Sharp

    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.

  • Diane Stafford

    Diane Stafford

    Clinical Professor, Pediatrics - Endocrinology and Diabetes

    BioDr. Stafford specializes in Pediatric Endocrinology with special interest in disorders of puberty and Prader-Willi syndrome (PWS). Her research interests include in medical education curriculum development, faculty development and endocrine dysfunction in PWS.

  • Han Sun

    Han Sun

    Postdoctoral Scholar, Genetics
    Biostatistician 2, Pediatrics - Endocrinology

    BioHan had been a postdoc with Dr. Steinmetz at the genetics department for five years, working on both cancers and heart diseases, trying to understand the mechanisms linking from variants to disease phenotypes. This led to a few very interesting findings of aberrant splicing regulation, such as splicing-mediated readthrough stabilization (SRS), one more mechanism for oncogene activation in multiple types of cancers, and tissue-specific splicing of a mitochondrial inner membrane protein, suggesting a molecular connection between deficiency in energy-supplying and dilated cardiomyopathy.

    After being a senior computational biologist with Dr. Gloyn, who has been dedicated to the research of type 2 diabetes for decades, Han switched to the field of this multifactorial metabolic disease. It did take some courage to make such a switch at his post-postdoc stage, however, Han has a consistent interest in studying PG&E, which is not pacific gas and electric nearby, but the interaction between phenotype, genotype, and environment. With years of hands-on experience in statistical modeling and the analysis of next-generation sequencing and mass spectrometry data, in addition to a good understanding of disease genetics, cancer biology, and systems biology, Han is highly confident that he will enjoy the adventure and contribute to our understanding of diabetes.

  • Jacqueline Sunderland

    Jacqueline Sunderland

    Adm Assoc 3, Pediatrics - Endocrinology

    Current Role at StanfordAdministrative Associate, Pediatric Endocrinology & Diabetes