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Kai Tan is a professor in the Department of Genetics at the Perelman School of Medicine, University of Pennsylvania, with a research focus on gene regulation and its role in cellular development and cancer. His lab employs genomics and systems biology approaches to investigate the factors underlying gene regulatory networks. They utilize techniques such as bulk and single-cell omics, imaging assays, and develop computational algorithms to generate models of gene regulatory pathways. Key research projects include understanding molecular pathways involved in therapeutic resistance to cancer, characterization of gene regulatory events, and the role of non-coding somatic variations in pediatric cancers. Tan's interdisciplinary approach lays emphasis on integrating multi-omics data through network biology and machine learning principles. His contributions to cancer genomics and systems biology are further highlighted by his affiliation with multiple institutes at the University of Pennsylvania, such as the Institute for Regenerative Medicine and the Abramson Cancer Center.
Department of Genetics, Perelman School of Medicine, University of Pennsylvania • Philadelphia, PA
Conducting research and teaching in the field of gene regulation and cancer.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.