Jeremy J. Berg
Department of Human Genetics and the College
Jeremy J. Berg develops theoretical models and statistical tools to help understand the evolution and genetics of complex traits, and is particularly interested in how pleiotropy, mutational bias, and natural selection shape the genetic architecture of these traits. He also maintains interests in a broad array of problems in population genetics, including linked selection and its consequences, pedigree reconstruction and demographic inference, coalescent theory and ancestral recombination graph inference, and the evolution of mutation and recombination rates.
His research has appeared in Nature Genetics, eLife, Genetics, and PLOS Genetics.
Berg received his BS in biology with an emphasis in evolution from the University of Wisconsin–Madison and a PhD in population biology from the University of California, Davis. As a graduate student, he worked on methods to detect polygenic adaptation in humans and on modeling selective sweeps from standing genetic variation. Most recently, he was a postdoctoral research associate in biological science at Columbia University.