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Yun (Renee) Zhang, PhD

About

Picture of Yun (Renee) Zhang, PhD

Yun (Renee) Zhang, PhD

Tenure Track Investigator, Computational Biology Branch

Dr. Zhang’s lab conducts research on artificial intelligence (AI), bioinformatics, and computational biology using data-driven strategies.

Contact Information

Building 38A, 8600 Rockville Pike, Bethesda, MD 20894

Tel: 301-435-4922

yun.zhang@nih.gov

Research Interests

Dr. Renee Zhang is a Tenure-track Investigator in the Division of Intramural Research (DIR) of the National Library of Medicine (NLM). Dr. Zhang's lab is interested in the development and application of novel computational and machine learning methods based on advanced biostatistics/statistics techniques to analyze large-scale, multi-omics, single-cell data from humans and other species related to health and disease. The Zhang lab also seeks to use these methods to identify data-driven biomarkers for disease diagnostics and therapeutics. Her group carries out “dry lab” (computational) research and closely collaborates with “wet lab” (experimental) investigators to understand and characterize the diverse cell phenotypes at single-cell resolution utilizing various single-cell genomics approaches.

Prior to joining NLM, Dr. Zhang was an Assistant Professor at the J. Craig Venter Institute (JCVI) in La Jolla, CA. JCVI is a non-profit research institute focused on the application of genomics technologies for biological and biomedical research.

She received her Master of Mathematics in Mathematics and Statistics from the University of Oxford, MS in Statistics from the University of Pennsylvania, and PhD in Statistics from the University of Rochester Medical Center.

Publications

Google Scholar publication list