Deeptak Verma
Director of Computational Chemistry (Modeling & Informatics), Merck & Co
Deeptak Verma is Director of Modeling & Informatics at Merck, where he leads a team of computational scientists developing advanced modeling, data analytics, and AI-driven technologies to accelerate drug discovery and development across small molecules, peptides, and biologics. With extensive experience in computational biology, protein engineering, and enzyme discovery, he has played a key role in advancing next-generation computational solutions for biocatalysis and molecular design. Since joining Merck in 2017, Deeptak has led efforts to integrate computational workflows across R&D, enabling more efficient enzyme engineering and predictive design strategies that support pharmaceutical innovation.
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