Our team is capable of modeling and analyzing systems and processes that run the gamut of biological complexity and scale—from the folding dynamics of a single protein to the evolution of genetic diversity across an entire population. Consistent with our motto to study “science across scales,” our theoretical wheelhouse comprises many tools that are agnostic to scale such as network science, information theory, and Bayesian analysis, all of which enable the development of multiscale mathematical frameworks that can bridge the gap between the micro- and macroscopic worlds and paint a more comprehensive, less modular portrait of biology and its connections to the environment.