- Postdoc, Integrative Biology, UC Berkeley, 2019-2020
- Postdoc, Biology, Stanford University, 2015-2018
- PhD, Bioinformatics, UCSF, 2014
- MS, Computer Science, University of Chicago, 2011
- MS, Biophysical Sciences, University of Chicago, 2009
- BA, Physics, Carleton College, 2005
Population genetics and computational biology
Our research asks "when is evolution important for explaining species' persistence, and why?" It's now clear that rapid climate change, habitat loss, disease spillover, and changing species interactions have driven many species to very low population abundance or extinction. And it's also clear that species can sometimes adapt rapidly to changing conditions, but we still know very little about the ecological, evolutionary, and genetic factors that facilitate or prohibit rapid adaptation. The Uricchio lab combines theoretical population genetic models, genomic data, and observational ecological data to try to predict when species will or will not be able to adapt sufficiently rapidly to persist. We use tools and data from a variety of empirical (e.g., California grasslands, poison frogs, humans) and theoretical (e.g. model-based simulations, mathematical models) contexts in pursuit of these goals.
As a critical extension of our research, we seek to enact positive change in our scientific and local communities, especially in terms of representation in science. We aim to be an explicitly anti-racist lab, and we welcome scholars of all ancestries, genders, disability statuses, and sexualities. Interested undergraduates and prospective graduate students are always encouraged to contact Lawrence.