Nick Barkas is a Computational Biologist at the Data Sciences Platform at the Broad Institute and a member of the Sabeti lab.
He obtained his Ph.D. at King’s College London where he studied the role of CTCF and cohesin at imprinted loci, as well as the role of epigenetic processes in the embryonic development of the endocardium. In his postdoctoral work at Oxford University he focused on the application of transcriptomics, and single-cell technologies in particular, on understanding hematological development and malignancies. In subsequent post-doctoral work at Harvard University he continued his work on malignancies affecting the bone-marrow micro-environment while increasingly focusing on the development of novel computational methods for analyzing and visualizing single-cell expression data.
His current interests are in the understanding of viral-host interactions in the context of Ebola disease using transcriptomics approaches and developing novel machine learning methods analysis of high-resolution transcriptomics data.