Kiran Garimella, DPhil

Kiran Garimella is a research scientist in the Data Sciences Platform at the Broad Institute. He develops new computational methods to study childhood cancers, structural birth defects, and infectious diseases. Prior to this, Kiran was a DPhil student (2011-2016) and post-doc (2016-2018) at the University of Oxford under the guidance of Prof. Gil McVean. He worked on combining long-read and short-read data to improve de novo assembly. Kiran applied these methods to de novo mutation discovery in malaria experimental crosses.