Michael Love, Dr. rer. nat.
Dr. Michael Love is an assistant professor in the Department of Biostatistics and Department of Genetics at UNC. He earned his doctoral degree in computational biology in 2013 from the Freie Universität and Max Planck Institute for Molecular Genetics in Berlin.
His research concerns statistical and computational methods for the analysis of high-throughput sequencing assays to facilitate biomedical and biological research. He has developed a number of open source software packages for the analysis of RNA sequencing (RNA-seq) data, including the DESeq2 package for differential gene expression analysis. In addition, he studies the effect of lab-to-lab variation on computational estimation of gene isoform abundances from RNA-seq, and has developed statistical methods for accurate estimation of isoform abundance in the presence of common technical biases.
Honors and Awards
NIH Training Grant recipient: Biometry/Epidemiology Training Grant in Biostatistics
2013-2016, National Institutes of Health (NIH)
- Statistical modeling of genomic data
- High-throughput sequencing
- RNA sequencing (RNA-seq)
- Empirical Bayes methods
Dr. rer. nat., Computational Biology, Freie Universität, Berlin, 2013
MS, Statistics, Stanford University, 2010
BS, Mathematics, Stanford University, 2005