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Karin Dorman

Karin Dorman

Position
  • Professor
I build mathematical and statistical models to address a variety of interesting problems mostly related the biology of infectious diseases. My principle focus has been the development of models to extract information from pathogen sequence information. For example, I have developed statistical models to detect the presence of recombination in pathogen sequences. Using these models to identify the location of recombination crossover events, has permitted the identification of possible hotspots of recombination. Another model uses sequence information to identify the historical location of selection events. A selection event associated with the formation of distinct HIV genotypes may ultimately help explain differences in viral pathogenecity.

Area of Expertise: mathematical biology, infectious diseases, bioinformatics

Contact Info

2411 Snedecor
2438 Osborn Dr.
Ames
,
IA
50011-1090

Education

  • M.S., Mathematics and Biology, Indiana University, 1994
  • Ph.D., Biomathematics, University of California, Los Angeles, 2001