206 732 2179 firstname.lastname@example.org
DegreePhD, Biochemistry, University of Washington, Dec 2009
Areas of ExpertiseComputational Biology; systems biology; biochemistry; molecular inference; modeling, prediction, and design of protein structure/function; genome engineering; transcriptomics; gene regulatory inference; systems biology of marine microeukaryotes (diatoms), microbial reverse-engineering including 'non-model' species, in vitro characterization; X-ray crystallography; nucleic acids work
I am interested in the modeling and prediction of molecular and genetic variations in cellular systems, and the ways in which the functions and interactions of genetically encoded molecules are "designed" in nature to yield cellular physiologies and adaptations. Recently I have been studying gene regulation of new microorganisms and the functional roles of mutations in cellular systems in order to relate our biophysical understanding of molecular function and evolution to systems-level characteristics.
Ocean Acidification and Diatoms
Marine phytoplankton, including diatoms, are prolific producers in the ocean that form the basis of food webs in coastal and ocean upwelling areas and have a major role in global carbon cycles. The goal of this project is to understand the systems biology of diatoms and the impact of ocean acidification and other stressors on their molecular and adaptive physiology. We are generating descriptive and predictive models of gene expression in response to projected environmental scenarios to a changing and acidifying ocean. A combination of bioinformatics, laboratory and field studies are being used gain an unbiased, systems-level understanding of the response of diatoms to ocean acidification.
How Regulatory Genetic Diversity Drives Cellular Physiology
A large portion of cellular physiology and adaptation depends upon the finely tuned molecular interactions that constitute gene regulatory networks. Genetic variability of the components that participate in these interactions is highly apparent, and is likely responsible for a significant portion of the differences in biology between closely related organisms. A complete understanding of (and ability to predict) the consequences of genetically encoded regulatory variation requires a molecular model of functional change, and a means of extrapolating its effect to changes in systems-level cellular behavior. This can be accomplished by analyzing the molecular variability of regulatory elements within the context of known large-scale regulatory networks.