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The central goal of my research program is to uncover the principles of coordination between cellular phenotypes at multiple scales of organization, and build predictive models of this coordination in health and disease. To this end, I pursue four complementary lines of inquiry:

1. Computational modeling of coupled biological circuits, each of which drive small-scale phenotypic switches. The goal is to predict the emergent, complex coordination of biological phenotypes. This work focuses on a) modeling regulatory networks that drive cellular life and death processes, and their breakdown in cancer, and b) modeling mammalian stem cell states and their crosstalk with the cell cycle.Â&²Ô²ú²õ±è;Several generations of College of ºÚÁÏÀÏ˾»ú Independent Study students have been involved in this effort, and their work is showcasedÂ&²Ô²ú²õ±è;!
2. Development of theoretical measures, computational tools, and visualization techniques to aid dy- namical modeling of multi-scale, hierarchically organized phenotypes (difficult for most biology/ BCMB IS students; but potential collaborative opportunity for physics majors).
3. Developing a predictive, dynamic computational model of the epigenetic state of individual gene promoters (pursued by an NIH-funded Postdoctoral Fellow &Â&²Ô²ú²õ±è;)
4. Measuring, modeling, and predicting the behavior of noise driven mosaic heterogeneity of the endothelium in vitro and in vivo (NIH-funded collaboration withÂ&²Ô²ú²õ±è;Â&²Ô²ú²õ±è;at the BIDMC).
   • Featured in a videoÂ&²Ô²ú²õ±è;about theÂ&²Ô²ú²õ±è;25th Krakow Conference on Endothelium:Â&²Ô²ú²õ±è;