Megan Shand is a computational biologist for the Data Sciences Platform of the Broad Institute of MIT and Harvard working under the direction of Yossi Farjoun. Her work entails managing methods and data pipelines for whole genome sequencing data, including most recently a production pipeline for identifying mitochondrial variants, RNA alignment pipelines, and reducing the computation cost of the Broad’s whole genome pipeline to $5.
Shand holds a master’s degree in statistics from Harvard University and a B.H.A. from Carnegie Mellon University.
Contact Megan Shand via email at firstname.lastname@example.org.