|
I am an Assistant Professor in the Department of Biostatistics at the University of Michigan.
I develop statistical methods motivated by problems in genetics and genomics. I am particularly interested in Mendelian randomization and other methods for exploiting patterns of pleiotropy (genetic sharing) across traits to understand human biology. I also work on a range of statistical genetics topics including confounding and selection bias in GWAS and statistical methods for integrating across multiple -omic data types. Previously, I have been a postdoc co-mentored by Xin He and Matthew Stephens. in the Department of Human Genetics at the University of Chicago and a graduate student at the University of Washington advised by Noah Simon. Website template borrowed from Karl Broman |
Email:
jvmorr at umich.edu