B.S., Mathematics, Indian Institute of Technology, Kharagpur, India, 1995
M.E., Computer Science & Engineering, Indian Institute of Science, Bangalore, India, 1999
M.B.A., Finance & Marketing,University of Connecticut, 2012
Species identification and strain attribution with unassembled sequencing data. A statistical framework to analyze raw next-generation sequence reads for rapid species identification and strain attribution against a robust database of known biological agents. A Bayesian statistical framework that accommodates information on sequence quality, mapping quality and provides posterior probabilities of matches to a known database of target genomes and also incorporates the possibility that multiple species can be present in the sample and considers cases when the species of origin is not in the sample.