- BS, Physics, Case Western Reserve University
- PhD, Nuclear Physics, University of Minnesota
- Postdoctoral Training, Institute for Systems Biology, Seattle
A personalized and predictive approach to health and disease will depend on understanding how genes and environmental factors combine to generate complex cellular behaviors. Our laboratory is developing novel computational methods to map complex genetic architecture and infer models that predict the outcomes of genetic and environmental variation. Our work involves deriving network models of interacting genes, integrating disparate phenotypic and molecular data types, critically evaluating models with experimental tests, and understanding how biological information is encoded in genetic networks and genomic data.