We are interested in quantifying the mode and tempo of evolution in natural populations, with a current emphasis on the microbiome. How we model evolution has implications for our ability to predict how populations will respond to selective pressures like antibiotics and pesticides. With the availability of new and abundant genomic data, the statistical methodology needed to address open questions is sometimes underpowered. We specialize in the development and application of new methods to public data and data generated by collaborators to make population genetic inferences.

The lab is situated in the Ecology and Evolutionary Biology department at UCLA and is affiliated with the Bioinformatics program and the Microbiome Center. We are currently recruiting postdocs, graduate students, and undergrads!