Project Summary Adaptation is the foundational concept in biology. My lab aims to build an empirically and theoretically rich theory of adaptation. We focus specifically on the inference of adaptation from genomic data and on the study of rapid evolution in real time. The latter include (i) experimental evolution in yeast (adaptation by de novo mutation in well-mixed clonal system), (ii) adaptation on seasonal and ecological time-scales in Drosophila (adaptation from standing variation in a obligately sexual organism), and (iii) inference of adaptation from well resolved population genomic and phylogenetic data. These projects utilize a diversity of systems, high throughput and well-powered experimental modalities, and sophisticated and varied analytic frameworks, but they all focus on the overarching need to understand the dynamics of rapid adaptation. The reduction in the cost of sequencing is making it possible and imperative to increase the resolution through the increase in the number of replicates and this in turn requires the application of liquid handling robotic systems as the one I am requesting here.