Philadelphia University + Thomas Jefferson University

Raj Vadigepalli

Rajanikanth Vadigepalli, PhD
Raj Vadigepalli, PhD

Dr. Vadigepalli is a Professor of Pathology, Cell Biology and Anatomy at Thomas Jefferson University. He also holds an Adjunct Professor position in Chemical Engineering at the University of Delaware. He received his Bachelors in Chemical Engineering from the Indian Institute of Technology in Madras, India, in 1996; his PhD in Chemical Engineering from the University of Delaware in 2001, with Specialization in Systems and Control Engineering; and his postdoctoral training in Bioinformatics at Thomas Jefferson University.

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Work in Dr. Vadigepalli’s lab is directed at understanding the operational principles of mammalian tissue plasticity, renewal, repair and regeneration. A key goal is to develop novel clinical interventions and decision-support systems for regenerative medicine. They are focused on unraveling the landscape of cell phenotypes that is shaped by the underlying regulatory networks. The driving postulate is that variability of gene expression across cell types in functioning tissues is dysregulated as an adaptive mechanism in chronic disease as well as during development and regeneration. His lab employs a transdisciplinary systems biology strategy that integrates computational modeling, systems engineering, bioinformatics, functional genomics, high-dimensional data analysis, and single cell scale experimentation. Their recent focus has been on analyzing and modeling gene and miRNA regulatory networks from molecularly and spatially defined single cells acquired through laser capture microdissection. Ongoing collaborative projects focus on liver repair and regeneration, alcoholic liver disease, brainstem neuroinflammation and neuroimmune processes leading to hypertension, cell fate regulation underlying developmental defects, and network modeling of renewal and regeneration in multiple mammalian tissues.

Dr. Vadigepalli has co-authored a number of peer-reviewed journal and conference publications in Biology/Medicine, Computational Biology and Systems Engineering. He has served on multiple review panels for the NIH, NSF and Army Research Office, and his work has been continuously funded by multiple grants from NIH. He currently serves as a Co-lead for the Computational Neuroscience Working Group of the Multiscale Modeling Consortium led by the National Institute of Biomedical Imaging and Bioengineering and the Interagency Modeling and Analysis Group. He also serves on the Committee for Credible Practice for Modeling and Simulation in Healthcare.