School of Medicine
Showing 1-10 of 11 Results
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Yunkyeong Lee
Postdoctoral Scholar, Endocrinology and Metabolism
BioYun is a postdoctoral research scholar in Dr. Anna Gloyn lab (Translational Genomics of Diabetes Lab). Since she joined the lab in August 2022, she has been involved in projects investigating type 2 diabetes (T2D) susceptible genes and their molecular mechanisms for pancreatic beta cell dysfunction under the mentorship of Dr. Gloyn. Specifically, she is interested in how the genes are modulated by autophagic/mitophagic pathways in human pancreatic beta cells. During her PhD, she focused on the roles of an epigenetic regulator and its molecular machineries in the pathogenesis of non-alcoholic fatty liver disease (NAFLD) under the supervision of Dr. Keun Il Kim. Besides, she studied the correlation between endoplasmic reticulum (ER) stress-mediated unfolded protein response (UPR) signalling and autophagy, and further their effects on various cells using some plant extracts. Her research goal is to expand our knowledge about the cellular and molecular mechanisms of T2D and explore therapeutic targets or strategies.
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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.