Department of Ecology and Evolution and the College
Matthias Steinrücken specializes in population genomics, statistical genetics, and computational biology. In his research, he develops computational and statistical methods for population genomics analysis to investigate the forces underlying genetic variation. He is interested in the implications of the increasingly widespread availability of genomic data for personalized medicine. Some of his research initiatives have involved inferring demographic histories, admixture mapping, and inferring selection strength from ancient DNA or time series genetic data.
His research findings have been published in Molecular Biology and Evolution, Bioinformatics, Science, the Annals of Applied Statistics, Theoretical Population Biology, and Genetics.
Steinrücken earned a diplom (informatics in the natural sciences) from Bielefeld University in Germany and a PhD in mathematics from the Technical University of Berlin, as a graduate of the International Research Training Group Stochastic Models of Complex Processes. He completed a postdoctoral fellowship in the Departments of Statistics and Electrical Engineering and Computer Sciences at the University of California, Berkeley. Most recently, he was an assistant professor of biostatistics at the School of Public Health and Health Sciences at the University of Massachusetts Amherst.