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My lab integrates computational approaches, including mathematical modeling and quantitative image analysis, with experimental investigations to understand complex cellular behavior. We are particularly interested in understanding the molecular mechanisms that regulate the spatiotemporal dynamics of cell signaling networks. We also develop novel computational techniques for quantitative analyses of live-cell images and simulating spatiotemporal models of signaling pathways. Current projects in the lab focus on cell fate decisions, polarity establishment and gradient sensing. The primary model system we use to study these cellular functions is the yeast Saccharomyces cerevisiae. Our investigations combine microfluidic technology with live-cell microscopy to observe cellular behavior in well-controlled environments. This experimental platform provides a powerful system for developing and validating predictive models of cellular function. My lab also is involved in multiple collaborative projects to investigate these fundamental cellular processes in physiological contexts and their dysregulation in human disease.


UNC AFFILIATIONS:

Bioinformatics & Computational Biology, Computational Medicine Program, Lineberger Cancer Center, Pharmacology

CLINICAL/RESEARCH INTERESTS:

Biophysics, Cancer Biology, Cell Signaling, Computational Biology, Systems Biology