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I am a PhD student at the Department of Biostatistics, University of Michigan working with Dr. Goncalo Abecasis. My current area of research is genotype imputation and tackling some of the challenges in next generation imputation. I have developed an open source tool for imputation (Minimac3) which is used on the Michigan Imputation Server. I am also a member of the Haplotype Reference Consortium. As part of a Psoriasis research team, I have worked on fine-mapping of disease susceptibility loci and typical downstream association analysis. My aim is to develop novel methods and tools that employ statistical methods and sotware engineering techniques to tackle some of the challenges in human gene studies.

I finished my undergraduate degree (B.Stat) and Master's degree (M.Stat) from the Indian Statistical Institute, Kolkata specializing in Mathematical Statistics and Probability. I joined the Center for Statistical Genetics, University of Michigan in 2011 and have been working on statistical genetics as part of my doctoral research. Our imputation tool (Minimac3) is significantly faster and more memory-efficient than contemporary imputation tools, while maintaining the same imputation accuracy. Our Imputation Web-Server has facilitated the process of imputation for researchers and has been used to impute more than 4 million genomes and has over 1,000 users to date. Currently, I am working on developing Minimac4. I am also developing methods for meta-imputation (MetaMinimac) and effecient compression of genetic data (m3vcftools). As a member of the Haplotype Reference Consortium, I have contributed in consolidationg genetic information to create one of the largest panels of human haplotypes currently available (over 60,000 haplotypes).

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