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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. For prospective PhD and Masters students: If you have not yet been admitted to the University of Michigan Biostatistics program, you should apply through our centralized admissions process. You are also welcome to send me an email to introduce yourself. However, please note that I cannot directly admit you to the program. If you are an admitted or current student at University of Michigan, get in touch by email and I will be happy to talk to you about research opportunities! Website template borrowed from Karl Broman |
Email:
jvmorr at umich.edu