At #UCDavis 1/23 – Mercedes Pascual “Climate forcing and the population dynamics of infectious diseases in changing human landscapes”




Mercedes Pascual

Rosemary Grant Collegiate Professor of Ecology and Evolutionary Biology Research Professor, Center for Computational Medicine and Bioinformatics, University of Michigan


Climate forcing and the population dynamics of infectious diseases in changing human landscapes

Dr. Pascual is an internationally recognized theoretical ecologist interested in the population dynamics of infectious diseases, their response to changing environments, and their interplay with pathogen diversity. Her cutting edge research on responses to climate forcing considers in particular water-borne and vector-borne infections. She is also interested in the structure and dynamics of large ecological networks of consumer- resource interactions known as food webs.

Dr. Pascual received her Ph.D. degree from the joint program of the Woods Hole Oceanographic Institution and the Massachusetts Institute of Technology. She was awarded a U.S. Department of Energy Alexander Hollaender Distinguished Postdoctoral Fellowship for studies at Princeton University, and a Centennial Fellowship in the area of Global and Complex Systems awarded by the James S. McDonnell Foundation for her research at UM. She is a fellow of the American Association for the Advancement of Science, an external faculty member of the Santa Fe Institute, and is a Howard Hughes Medical Institute Investigator.

Sponsored by Department of Evolution and Ecology College of Biological Sciences Storer Life Sciences Endowment University of California, Davis

Thursday January 23, 2014 4:10 P.M.

100 Hunt Hall

Storer_Mercedes Pascula flyer.doc.pdf

Author: Jonathan Eisen

I am an evolutionary biologist and a Professor at U. C. Davis. (see my lab site here). My research focuses on the origin of novelty (how new processes and functions originate). To study this I focus on sequencing and analyzing genomes of organisms, especially microbes and using phylogenomic analysis

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