Research overview

⚠ My homepage has moved! ⚠ 

Please head over to for the most updated information.

My research interests involve applying statistical reasoning to problems that bring together the fields of biology, genomics, bioinformatics, and statistics. I am especially interested in the development of statistical methodology for the analysis of high-dimensional genomic and transcriptomic data, and the implementation of such methods in open-source R/Bioconductor packages. My research is primarily focused on developing sound statistical methods for the analysis of genomic and transcriptomic data, including differential expression analyses, co-expression analyses, network inference, and integrative multi-omic analyses.

My full CV may be found here, my Google Scholar profile may be found here, and my ResearchGate profile may be found here. Follow me on Twitter at @andreamrau and check out my GitHub repo.

INRA logo-upsaclay


I’m currently on a 20-month sabbatical (October 2017-May 2019) through an AgreenSkills+ fellowship to work with my colleague Dr. Paul Livermore Auer at the Zilber School of Public Health at the University of Wisconsin-Milwaukee.