Jeremy Purvis, PhD
Assistant Professor of Genetics
Research Areas: Bioinformatics, Computational Systems Biology, Image Analysis
Research Interests: Our lab uses computational and experimental approaches to study signaling mechanisms in stem cells and cancer pathways. We are especially interested in understanding the molecular mechanisms underlying “irreversible” cell fate decisions such as apoptosis, senescence, and differentiation. We study the timing and mechanism of these decisions using a combination of time-lapse microscopy and computational modeling. Our ultimate goal is to not only understand how cells make decisions under physiological conditions, but to discover how to manipulate these decisions to treat disease.