Vamsi Mootha

Vamsi K. Mootha is an Indian-born American physician-scientist and computational biologist. He is an Investigator of the Howard Hughes Medical Institute, Professor of Systems Biology and Medicine at Harvard Medical School, Investigator in the Department of Molecular Biology at Massachusetts General Hospital. He is also an Institute Member of the Broad Institute.[1]

Mootha and his research group have made major contributions to mitochondrial biology and genomics. His group characterized the mammalian mitochondrial proteome and has produced a widely utilized resource called Mitocartaa. Their team has applied it to identify a large number of mitochondrial disease genes. His team used integrative genomics to identify all of the molecular components of the mitochondrial calcium uniporter. His team has also used genomics to make the unexpected discovery that in animal models, low oxygen can alleviate mitochondrial disease. As a postdoctoral fellow he developed Gene Set Enrichment Analysis, an algorithm that is widely used in genomics and has been implemented into a popular software tool.

He is a 2004 recipient of the Macarthur Foundation "genius award". He received the 2008 Daland Prize from the American Philosophical Society and a 2014 Padma Shri Award from the Republic of India, the fourth highest civilian award given by the Indian government.[2][3][4][5] He was elected to the United States National Academy of Sciences in 2014 and the National Academy of Medicine in 2021. He also served on the Life Sciences jury for the Infosys Prize in 2017.

Mootha graduated from Kelly High School in Beaumont, Texas. He received his BS in Mathematical and Computational Science from Stanford University and his M.D. from Harvard University in the Harvard-MIT Division of Health Sciences and Technology. He completed his internship and residency in internal medicine at Brigham and Women's Hospital in Boston, and then pursued postdoctoral training with Eric Lander at the Whitehead Institute/MIT Center for Genome Research.[6]