Research

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Our research lies at the interface of human genetics, computational statistics, and data science. Current research focuses on understanding diverse behaviors of cells using machine learning, network science and dynamical system analysis. We develop analytical frameworks to study single-cell transcriptome data from various types of cells. We also study the genetic basis of phenotypic variability or randomness in the human population and develop computational tools to identify genetic variants that control complex traits and determine the susceptibility of genetic disorders.