Summary
Jose Mosquera is a PhD candidate in Bioinformatics at the University of Virginia who translates single-cell and spatial genomics into reproducible pipelines and R packages for studying cis-regulatory programs in human disease. With nine years of research and data-analysis experience spanning Fred Hutch, Vertex, and UVA’s Center for Public Health Genomics, he has built infrastructure for NGS region data and characterized cell-type transcriptional programs in diverse systems. His current project uses multimodal single-cell data (scRNA-seq, snATAC-seq) to dissect smooth muscle cell phenotypic modulation in atherosclerosis, and he prioritizes making tools publicly available to accelerate community science. Trained in molecular biology, genetics, and applied math from the University of Washington, he brings wet-lab experience and computational rigor to bridge experiments and scalable analysis. An often-overlooked strength is his background in imaging-data protocol development and cytogenetics, which informs his integrative approach to regulatory genomics.
9 years of coding experience
3 years of employment as a software developer
Bachelor's Degree, Molecular Biology and Genetics, Bachelor's Degree, Molecular Biology and Genetics at University of Washington
Doctor of Philosophy - PhD, Bioinformatics, Doctor of Philosophy - PhD, Bioinformatics at University of Virginia
English, Spanish