Michael Ross is a computer scientist in the Computational Research and Development team in the Genome Sequencing and Analysis Program at the Broad Institute.
Ross studies sequencing bias – the tendency of genomic sequencing technologies to read various segments of a genome with variable accuracy or depth – across all sequencing platforms. He develops software tools for measuring known sources of bias and discovering new sources. In that role, he works frequently with colleagues in the Genomics Platform as they explore modifications to sequencing procedures that might affect bias.
Ross also evaluates new sequencing technologies that the Broad is exploring from a computational perspective. This involves collaborating with a wide range of colleagues at the Broad and working with vendors to understand and help develop their bioinformatic pipelines.
Before joining the Broad in July 2009, Ross earned a Ph.D. in computer science from MIT, where he studied the application of machine learning techniques to computer vision problems. In postdoctoral work, he applied similar models to understand human vision, before pursuing his current area of research at the Broad.