Diptavo Dutta
Stadtman Tenure Track Investigator
Gaithersburg, Maryland, United States
Summary
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Senior🎓
Top SchoolDiptavo Dutta is a Stadtman Tenure-Track Investigator at the National Cancer Institute with eight years of experience translating advanced statistical theory into practical tools for genetic association studies. He holds a PhD in Biostatistics from the University of Michigan and has deep expertise in multivariate analysis, mixed models, variance components, kernel regression, and Monte Carlo methods applied to rare-variant testing, meta-analysis, and pathway analysis. Experienced in R and Python, he builds user-friendly implementations of novel methodologies to broaden community adoption. His background spans academia and industry—including a postdoc at Johns Hopkins and a clinical data internship at AbbVie—giving him fluency in both methodological research and real-world epidemiologic applications. Colleagues rely on him for rigorous statistical innovation that is geared toward high-impact cancer genetics studies.
8 years of coding experience
5 years of employment as a software developer
Master of Science (M.Sc.), Statistics, Master of Science (M.Sc.), Statistics at Indian Statistical InstituteDoctor of Philosophy (PhD), Biostatistics, Doctor of Philosophy (PhD), Biostatistics at University of Michigan School of Public HealthBachelor of Science (B.Sc.), Statistics, Bachelor of Science (B.Sc.), Statistics at St.Xavier's college,Kolkata
Github Skills (1)
r-package8
Programming languages (1)
Github contributions (5)
diptavo/diptavo.github.io
Apr 2021 - Aug 2024
Contributions:208 pushes in 3 years 5 months
diptavo/MultiSKAT
Oct 2017 - Jan 2019
MultiSKAT is an R-package focused at rare-variant analysis of continuous multiple phenotype data. This project contains the R-codes/functions (including an example dataset) to carry out the MultiSKAT tests.
Contributions:18 commits, 20 pushes, 1 branch in 1 year 3 months
r-packagerare-variant-analysisvariant-analysiscontinuousdataset
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