School of Medicine
Showing 11-20 of 75 Results
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An Ni Zhang
Postdoctoral Scholar, Stanford Cancer Institute
BioAnni obtained her Ph.D. in Dr. James Johnson and Dr. Janel Kopp's labs at the University of British Columbia. Her Ph.D. work showed that hyperinsulinemia contributes to pancreatic cancer development. Her work also showed that insulin directly acted via the insulin receptors in pancreatic acinar cells to increase digestive enzyme production, thereby generating an inflammatory condition that accelerates neoplastic transformation. She is now working at Diehn lab to investigate the mechanisms of KEAP1 mutation-induced immunotherapy resistance in lung cancer.
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Chongyang Zhang
Postdoctoral Scholar, Cardiology
BioDr. Zhang is a Postdoctoral Scholar at RabLab in the cardiopulmonary division. She has a PhD in Pharmacology from University of Rochester, NY. She has research in cardiovascular research and chronobiology published in high impact peer-reviewed journals. She is recipient of honors including predoctoral fellowship from AHA, Travel Grant for Early Career Investigators from Council on Arteriosclerosis, Thrombosis, and Vascular Biology. She has served as ad hoc reviewer for more than 40 manuscripts for reputed journals.
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Lu Zhang
Postdoctoral Scholar, Endocrinology and Metabolism
BioLu is a postdoctoral research scholar in Dr. Anna Gloyn's Translational Genomics of Diabetes Lab. During her master's and doctoral studies, she focused on epigenomics and single-cell multi-omics analysis, with an emphasis on 3D genomics. Her research included developing Hi-Tag, a chromatin conformation capture technique designed for use with small cell samples. This method provides valuable insights into the organization of chromatin in the cell. She has built strong expertise in combining different types of biological data, including RNA-seq, ATAC-seq, chromatin interaction data, and single-cell data. She has contributed to several research projects as a co-author, including studies that used genome-wide association studies (GWAS) and GTEX data to connect multi-omics data with functional genomics. These experiences have helped her gain a deep understanding of how to integrate different types of genomic data to solve complex biological problems. Currently, Lu is focused on applying her research skills to diabetes.