School of Medicine
Showing 31-40 of 84 Results
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Sandra Soo-Jin Lee, Ph.D
Sr Research Scholar, Pediatrics - Center for Biomedical Ethics
Current Research and Scholarly InterestsDr. Lee is a medical anthropologist whose research focuses on the sociocultural dimensions and ethical issues of emerging technologies and their translation into clinical practice. Dr. Lee leads studies on the public understandings of research using clinical data and biological samples, concepts of race, culture and human genetic variation, and citizen science, commercialization of biotechnology and entrepreneurship.
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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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Christopher Lee-Messer, MD, PhD
Clinical Associate Professor, Neurology
Clinical Associate Professor (By courtesy), PediatricsCurrent Research and Scholarly InterestsMy chief clinical focus is in pediatric epilepsy, especially how epilepsy affects learning and development. For my research, I background in neural development and computational neuroscience towards developing better learning algorithms and applying the latest techniques in machine learning for better diagnosis and treatment of disease.
