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Gaurav Arya is a Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science at Duke University's Pratt School of Engineering. His research laboratory employs physics-based computational tools to achieve a fundamental and molecular-level understanding of a diverse range of biological soft-material systems. His work focuses on discovering new phenomena and developing novel technologies. The methodologies he utilizes are largely derived from statistical mechanics, molecular modeling simulations, and stochastic dynamics, alongside advancements in bioinformatics and machine learning in polymer and colloidal physics. He has four main research themes: genome organization and regulation, polymer-nanoparticle composites, viral DNA packaging, and DNA nanotechnology. Arya's notable work includes significant contributions to the understanding of DNA origami through dynamic models and complex assembly mechanisms. He is engaged in interdisciplinary research that merges engineering, biophysics, and nanotechnology, aiming to innovate in various fields through advanced materials and techniques. Over the years, he has authored multiple publications in high-impact journals, further establishing his expertise in his areas of interest.
Princeton University • Princeton, NJ
New York University • New York, NY
Department of Biomedical Engineering (MS program)