Jeremy earned his Ph.D. in Bioinformatics and Systems Biology in the lab of Alexander Hoffmann at UCSD, researching kinetic models of co-transcriptional splicing. In his studies he developed analyses for RNA-seq, nascent RNA-seq, GRO-seq and MNase-seq that were intimately linked with mechanistic models. Jeremy set up the Bioinformatics Core at the San Diego Center for Systems Biology, optimizing pipeline for RNA-seq and ChIP-seq. Jeremy also has extensive experience analyzing gene expression data from his time working in the Neurogenetics Laboratory at UCLA, where he became an expert in the analysis of Microarrays, Weighted Gene Coexpression Network Analysis, pathways analyses, gene set enrichment and motif analysis. His ambitious goal of enabling researchers without programming experience to ask quantitative questions led to the development of web portals featuring tools to query relational databases of expression data (microarray and sequencing) and perform on-the-fly computational analyses.
