Welcome to my website! I am a biostatistician at the University of Massachusetts Medical School. My research is in statistical methods for systems genetics. My colleagues and I use mice to study biology of complex traits, like body weight, that are affected by many genes and other factors. We design and perform experiments to map quantitative trait loci (QTL) with the goal of identifying gene regions that affect complex traits. I also maintain R packages that enable multivariate analysis in systems genetics studies.
Tomorrow my lab will participate in #ShutDownAcademia #ShutDownSTEM. I’ll stay at home instead of traveling to my office. And instead of doing my usual research, I’ll read, watch, and listen to pieces listed on the organizers’ website: https://www.shutdownstem.com/.
I hope that you’ll join me in participating.
Mathematician John Urschel recommended this article from the American Mathematical Society: https://www.ams.org/journals/notices/201802/rnoti-p149.pdf
I have the opportunity to present a poster at The Allied Genetics Conference (TAGC) 2020. I’ve posted both a pdf of the poster and a mp4 narrated video tour of the poster here.
I’d love to address your questions and hear your suggestions in the Q & A session on Thursday, April 30, at 1:30pm Eastern Time. My poster number is 1333A.
(Last modified: 2020-04-27 15:49:12)
I have now completed ImprovBoston’s Improv Comedy 101 class. I’m happy to share the video of my class’s show from December 2019. You can view it here.
(Last modified: 2020-02-08 12:40:41)
qtl2pleio
performs a d-variate, d-QTL scan over a genomic region of interest before calculating a likelihood ratio test statistic for the competing hypotheses of pleiotropy and separate QTL.gemma2
uses restricted maximum likelihood methods to infer variance components in a multivariate linear mixed effects model for QTL mapping.