Vivek Kohar, Ph.D.

Associate Computational Scientist

Develops and applies computational methods and web apps to construct, model, visualize, and simulate gene regulatory networks and analyze the gene expressions patterns therein.

Studies the complex biological processes using machine learning and physics-based dynamical (linear/nonlinear) models using data-driven analysis. Develops computational methods, tools, pipelines, and interactive web apps to construct, model, simulate, and visualize the gene regulatory networks in various biological processes using literature-based evidence as well as RNA-Seq (bulk/single-cell), ATAC Seq, and CHiP Seq data. Employs deep learning on video-based assays and genomics data from behavioral studies to connect behavior and genetics.

   Visit Vivek Kohar on Github   



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          Vivek Kohar on ORCID