Dan Sindhikara is a computational chemist and drug-hunting leader with 13 years of experience building and applying state-of-the-art pharmaceutical design software across industry and academia. Currently Head of Computational Chemistry at Unnatural Products after senior roles at Merck and Schrödinger, he combines deep expertise in peptides, macrocycles, and multiple therapeutic modalities with hands-on development of atomic-level modeling methods. His background spans force-field development, enhanced sampling, QM/MM, and statistical liquid models, reflecting a rare blend of theoretical rigor and product-driven engineering. Based in New Jersey, he has a PhD in Physics and a track record of translating advanced simulation techniques into practical design tools for drug discovery.
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