Monday, November 7, 2016
Noon-1:30 pm
The Faculty Club

Watch Video

Biography

David Rand joined the Brown faculty in 1991, after receiving a B.A. at Harvard and a PhD at Yale in Biology, and postdoctoral training in population genetics at Harvard. He is the Stephen T. Olney Professor of Natural History in the Department of Ecology and Evolutionary Biology, where he is Chair of the Department. He teaches undergraduate courses in evolutionary biology, evolutionary genetics, and graduate seminars on ecological, evolutionary and population genetics. His research focuses on the coevolution of nuclear and mitochondrial genomes, the role of mitochondrial mutations in fitness, aging and disease, and the environmental genomics of adaptation in marine organisms, with funding from the NIH and NSF. He is Director of an NSF IGERT Training Grant in Reverse Ecology bridging graduate programs in Ecology and Evolutionary Biology, the Center for Computational Molecular Biology, Applied Math and the Marine Biological Laboratories in Woods Hole. He is Principle Investigator of an NIH COBRE award focusing on the Computational Biology of Human Disease. He is past president of the American Genetic Association and an elected Fellow of the American Association for the Advancement of Science.

The variation among individuals is due to two primary sources: the genes that make up the genome and the environment in which those genes are active. The relative contributions of genes and environment in the response to natural selection and in medical conditions today remains a contested issue. With the advent of high throughput genomics, there has been tremendous interest in mapping the genes that have enabled evolutionary change or caused human disease. These approaches have uncovered only a fraction of that genetic variation, and have attributed the rest to gene-environment and gene-gene interactions, the missing dark-matter of the genome. The goal of this presentation is to review the complexity of these genome interactions and describe the ways that our research group is working with mitochondrial and nuclear genomes to make sense of this complexity as it applies to evolutionary and medical biology.