Debashree Ray, PhD, MStat, develops statistical methods to analyze human genetics data such as determinants of Type 2 diabetes, cardiovascular disease, and orofacial clefts.
Research Interests
Biostatistics; Case-control study; External controls; Genome-wide association study (GWAS); Lipids; Meta-analysis; Multiple traits; Multivariate analysis; Overlapping samples; Secondary traits; Statistical genetics; Statistical methods; Trio study design; Type II Diabetes
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Experiences & Accomplishments
Education
PhD
University of Minnesota, Minneapolis
2015
MStat
Indian Statistical Institute
2010
BSc
University of Calcutta
2008
Overview
I have been extensively trained in statistics and biostatistics with applications in human genetics. My research focuses on developing novel statistical methods and software for discovering genetic associations of common human diseases. Much of the motivation for my statistical methods came from my collaborations in epidemiologic studies. Although I have primarily worked with complex traits such as lipids and type II diabetes (T2D), the methods/tools I have worked on can be applied to other disease traits as well.