John Platig, Ph.D.

About

How do the regulatory networks that maintain gene expression programs change in response to stimuli and in disease states? The primary goal of my research program is to address this fundamental question using techniques from genomics, systems genetics, and network science. As a computational lab, we develop and apply new methods to infer transcription factor (TF) and RNA binding protein (RBP) regulatory networks from multi-omics data sets. We aim to build methods that incorporate existing biological knowledge about the regulatory logic of the cell, with the goal of providing context-specific, testable hypotheses. Currently, our lab is particularly interested in two questions: (1) How does non-coding genetic variation alter transcription factor (TF) regulatory networks? (2) What are the best ways to model post-transcriptional regulatory networks and splicing in human disease phenotypes?

Education

BS, Physics, Wright State University

PhD, Physics, University of Maryland

Postdoctoral Fellowship, Computational Biology, Harvard Chan School of Public Health