Liu M*, Jiang Y*, Wedow R*, Li Y*, …, Abecasis G, Liu D, and Vrieze S. (2019). Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use. Nature Genetics.
doi: 10.1038/s41588-018-0307-5
Liu M*, Jiang Y*, Wedow R*, Li Y*, …, Abecasis G, Liu D, and Vrieze S. (2019). Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use. Nature Genetics.
doi: 10.1038/s41588-018-0307-5
Liu M*, Jiang Y*, Wedow R*, Li Y*, …, Abecasis G, Liu D, and Vrieze S. (2019). Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use. Nature Genetics.
doi: 10.1038/s41588-018-0307-5
Liu M*, Jiang Y*, Wedow R*, Li Y*, …, Abecasis G, Liu D, and Vrieze S. (2019). Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use. Nature Genetics.
doi: 10.1038/s41588-018-0307-5
DOCTOR OF PHILOSOPHY
SOCIOLOGY, GENETICS, AND DATA SCIENCE
Robbee Wedow
Assistant Professor of Sociology and Data Science,
Purdue University Department of Sociology
Assistant Professor by courtesy
Purdue University Department of Statistics
Adjunct Assistant Professor
Indiana University School of Medicine
Department of Medical and Molecular Genetics
Research Fellow
AnlytiXIN
Research Affiliate
Broad Institute of MIT and Harvard
Email: rwedow@purdue.edu
Phone: +1.219.851.2193
Address: Beering Hall 1168
100 N University St
West Lafayette, IN 47907
ABOUT ME
I'm an Assistant Professor of Sociology and Data Science at Purdue University, with lots of other connections that reflect the interdisciplinary nature of my research. Before coming to Purdue, I did my PhD at the University of Colorado Boulder and my postdoc at the Broad Institute of MIT and Harvard. My main research interest is in sociogenomics, which lies at the intersection of demography and statistical & computational genetics. I am interested in how genetics interact with everyday life experiences to shape behavioral outcomes and in building better computational models for genomic identification and prediction.