About
John Platig is an Assistant Professor at the University of Virginia in the departments of Genome Sciences and Public Health Sciences. His research focuses on understanding how gene regulatory networks change in response to stimuli and disease states, combining computational methods with genomics and systems genetics. He holds a PhD in Physics from the University of Maryland and a BS in Physics from Wright State University, followed by postdoctoral training in computational biology at Harvard Chan School of Public Health.
His research interests include gene regulatory networks, systems genetics, multi-omic data integration, and network science. Specific questions explored include the impact of non-coding genetic variation on transcriptional networks and modeling post-transcriptional regulatory mechanisms in disease.
Platig's work emphasizes method development for network inference, such as the Network Zoo computational package, and addresses translational questions in COPD, cancer, and Mycobacterium tuberculosis. His publications consistently explore network-based approaches to uncover regulatory mechanisms underlying complex traits and diseases.
Key contributions include analysis of eQTL networks, sex differences in gene expression across tissues, and systems-level modeling of polygenic adaptation. His lab's computational framework integrates multi-omics datasets to generate experimentally testable hypotheses about regulatory logic in health and disease.
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