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Rounak Dey

Senior Data Scientist

Hometown:

Kolkata, India

Education:

Ph.D. in biostatistics, University of Michigan

Previous Experience:

I previously worked as a research associate at Harvard University.

Responsibilities at insitro:

I focus on developing statistical approaches to analyze large-scale human cohorts with genetic and multi-modal phenotypic data.

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Key Papers:

Efficient and accurate frailty model approach for genome-wide survival association analysis in large-scale biobanks

Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies

Asymptotic properties of principal component analysis and shrinkage-bias adjustment under the generalized spiked population model