Prior to Dewpoint, Aravind trained at the Broad Institute of MIT and Harvard where he held roles of increasing responsibility, most recently as Director, Computational R&D.
Aravind’s research at the Broad Institute focused on technologies for generating large-scale perturbational datasets and their computational analysis. Over the past decade, Aravind’s team has generated several large perturbation datasets by treating cultured human cells with small-molecule and biological agents. These data, coupled with powerful pattern recognition algorithms, are made available in a popular public resource called the Connectivity Map and are routinely used by drug hunters to understand mechanisms of action of small-molecules, functionally annotate disease genes, and inform clinical studies.
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