Our research moves beyond mapping the effects of mutation and towards understanding how and why these effects depend on context. We use cutting edge technology in budding yeast to precisely measure how the impacts of mutation change as the genetic background or environment is systematically varied. We analyze these data in clever ways that result in mechanistic and predictive models. Our goal is to make better predictions about the effects of mutation and moreover to understand how context dependendence influences evolution.

Sam Apodaca sucessfully defended his undergraduate honors thesis on the evolution of drug resistance. Congratulations Sam!!

Posted 12 Apr 2021

The Sloan Research Fellowships seek to stimulate fundamental research by early-career scientists and scholars of outstanding promise.

Posted 16 Feb 2021

Our recent paper in eLife about building abstract genotype-phenotype-fitness maps has been summarized in an eLife digest.

Posted 02 Dec 2020

Kara and Sam have started 12 evolution experiments, each one follows a population of ~500,000 barcoded yeast cells as they evolve drug resistance. Follow us on twitter! #KGSlabEvolves

Posted 27 Oct 2020