Are you interested in computational biology or bioinformatics research? This session is open to any individual (undergraduate, graduate student, postdoc, professional) who would like to discuss this broad field.
We will discuss how to get started learning (or improve) technical and quantitative skills important in computational biology––such as math/statistics, programming, and version control. The session will include examples of research questions, specifically mathematical modeling of infectious disease and estimating the Tree of Life.
Assistant Professor
Iowa State University (Jan. 2015)
macroevolution, molecular evolution, phylogenetics, Bayesian inference
Assistant Professor
University of California, Merced
human evolution, population genomics, adaptation
Postdoctoral Researcher
University of North Carolina at Chapel Hill
computational modeling of airway surface liquid regulation
Postdoctoral Researcher
Brown University
evolution, phylogenetics, systematics, biodiversity