Chris J. Dean

Chris is a PhD candidate in Bioinformatics within the Department of Veterinary Population Medicine at the University Minnesota, working under the supervision of Dr. Noelle Noyes. Chris’s research focuses on deriving meaning from biological sequence data originating from next-generation sequencing instruments.

Chris has an interdisciplinary background in bioinformatics, computer science, epidemiology, microbiology and statistics. He has experience designing cross-sectional, case-control and longitudinal epidemiological studies; testing hypotheses using linear, non-linear, hierarchical and multivariate statistical models; developing and running bioinformatics software.

He is passionate about utilizing this diverse skillset to help teams answer important questions related to health and disease in animal and human populations.