The research in his lab is focused on statistical and computational methods for the analysis of high-throughput sequencing assays to facilitate biomedical and biological research.
Dr. Love has a primary appointment in Biostatistics and a joint appointment in Genetics. After receiving his M.S. in Statistics from Stanford University in 2010 and his Dr. rer. nat. degree in Computational Biology from Freie Universitat, Max Planck Institute for Molecular Genetics, and International Max Planck Research School for Computational Biology and Scientific Computing in 2013, he did a postdoctoral fellowship in the Department of Biostatistics and Computational Biology at Dana-Farber Cancer Institute and the Department of Biostatistics at Harvard TH Chan School of Public Health.
Dr. Love’s 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.
The Department of Genetics is pleased to welcome Dr. Love. He can be found in 4115E McGavran-Greenberg Hall and at firstname.lastname@example.org.