Our research involves multiple interdisciplinary projects in the area of Computational Systems Biology. We use methods of nonlinear dynamics, statistics, bioinformatics and theoretical biophysics methods to quantitatively characterize the design and behavior of biochemical networks and principles of multicellular self-organization. We also closely collaborate with experimental researchers to design experiments to test or models and theories. In particular, we are interested in: Evolutionary design principles of master level gene expression regulation in bacteria, Networks controlling differentiation and development in bacteria, Mechanisms and dynamics of genetic regulation in Hematopoietic Stem Cells, Spatial organization, signaling and dynamics in bacterial communities, Host-pathogen interactions during active and latent tuberculosis infection, Cellular stochasticity, control of noise and stochastic decision making.
Publications/Creative Works
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Affiliations
Research Consortia
GCC Consortium for Antimicrobial Resistance (GCC AMR)
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