PI: Michael I. Love
Assistant Professor
Department of Biostatistics
Department of Genetics
Member of Lineberger Comprehensive Cancer Center
University of North Carolina-Chapel Hill

Google Scholar
Biostatistics Dept. bio

michaelisaiahlove at gmail dot com *

* for software questions, do not email, instead use the Bioconductor support site


  • Michael Love will be presenting at:
    • September 24, 2018 - Brown University: Statistics Seminar Series
    • October 22, 2018 - Duke University: Computational Biology & Bioinformatics Series
    • March 24-27, 2019 - ENAR, speaker in the Teaching Data Science through Case Studies invited session organized by Stephanie Hicks and Leah Jager



The Love Lab uses statistical models to infer biologically meaningful patterns from high-throughput sequencing data, and develops open-source statistical software for the Bioconductor Project. At UNC-Chapel Hill, we collaborate with groups in the Genetics Department and the Lineberger Comprehensive Cancer Center, studying how genetic variants relevant to diseases are associated with changes in gene expression levels and other molecular phenotypes. A major effort of the lab is supporting and maintaining the DESeq2 package for statistical analysis of RNA-seq and other sequencing experiments, and associated packages and workflows for analyzing genomics data.

PI - Background

From 2013-2016, I was a Postdoctoral Fellow in the group of Rafael Irizarry in the Biostatistics and Computational Biology Department at the Dana-Farber Cancer Institute and the Harvard TH Chan School of Public Health. I completed a PhD in Computational Biology and Scientific Computing (2013) in the Vingron Department at the Max Planck Institute for Molecular Genetics in Berlin and the Mathematics and Informatics Department of the Freie Universität, Berlin. I completed a Statistics M.S. (2010) and Mathematics B.S. (2005) at Stanford University.