Evolution is the logic backbone of any biological phenomenon. Since the modern synthesis, many quantitative evolutionary models (especially in the field of population genetics) have been developed to decipher the mode, tempo, and impact of evolution on the diversification of populations, species, and communities. These models have been successful and sufficient until recently, with the explosion of genomic data. The advent of a vast amount of genomic resources not only grants us the luxury of asking new questions but also, at the same time, requires new models, new tests and new statistical tools to understand the complexity of nature.
I am particularly passionate about building theoretical models and applying them empirically to understand the evolution and structuring of population diversities in time and space. I integrate concepts and tools from population genetics, genomic evolution, and disease ecology, and develop new methodologies to answer questions regarding rapid adaptation, range expansions and contractions, and parasite-pathogen coevolution.
University of Chicago
Postdoctoral Fellow with Prof. Mercedes Pascual
University of Michigan
Ph.D. in EEB with Prof. L. Lacey Knowles
Bachelor degree in Biological Sciences