Claudia Neuhauser, PhD, is the director of Research Computing in the Office of the Vice President for Research, overseeing the University of Minnesota Informatics Institute (UMII), the Minnesota Supercomputing Institute (MSI), and U Spatial. She has been the Director of Graduate Studies of the Biomedical Informatics and Computational Biology graduate program since 2008. She served as Vice Chancellor for Academic Affairs and Director of Graduate Studies for Biomedical Informatics and Computational Biology at the University of Minnesota Rochester (UMR) from 2008–2013. She is a Distinguished McKnight University Professor, Howard Hughes Medical Institute Professor, and Morse-Alumni Distinguished Teaching Professor. She received her Diplom in mathematics from the Universität Heidelberg (Germany) in 1988, and a Ph.D. in mathematics from Cornell University in 1990. She joined the School of Mathematics at the University of Minnesota-Twin Cities in 1996. Before moving to UMR in July 2008, she was Professor and Head in the department of Ecology, Evolution and Behavior at the University of Minnesota-Twin Cities, and a faculty member in mathematics departments at the University of Southern California, UW-Madison, University of Minnesota-Twin Cities, and UC Davis.
Her research is at the interface of mathematics and biology, and has ranged from studying the effect of competition on the spatial structure of competitors to the effect of symbionts on the spatial distribution of their hosts or the effect of virotherapy on clusters of cancer cells. Currently, her research is primarily in the area of bioinformatics and computational biology where she is developing statistical tools ranging from detecting genomic signatures of cancer and other complex diseases in next-generation sequencing data to analyzing flow cytometry data.
In her role as Vice Chancellor for Academic Affairs and Student Development at UMR, she was responsible for developing and overseeing academic and student development programs that promote a learner-centered, technology-enhanced, and concept-based learning environment in which ongoing assessment guides and monitors student learning and is the basis for data-driven research on learning. Her interest in furthering the quantitative education of biology undergraduate students has resulted in a textbook on Calculus for Biology and Medicine and a website with open statistics and mathematics resources that is hosted by BioQUEST.