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Gaurav Arya is a Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science at Duke University specializing in the intersection of physics and biology. His research utilizes physics-based computational tools to achieve a molecular-level understanding of biological soft materials, fostering discoveries of new phenomena and the development of innovative technologies. His work primarily focuses on statistical mechanics, molecular modeling, and machine learning applied to various themes including genome organization, polymer-nanoparticle composites, and DNA nanotechnology. Arya’s laboratory investigates the complexities of biomolecular interactions through advanced methods like coarse-graining and stochastic dynamics. He aims to contribute to the field with significant insights into polymer-physics, bioinformatics, and nanoscale transport processes. His research interests span several key themes and he is committed to disseminating findings through rigorous academic publications and collaborative projects.
Princeton University • Princeton, NJ
Conducted research in computational modeling and simulations.
New York University • New York, NY
Worked on advanced materials and nanotechnology applications.
Department of Biomedical Engineering (MS program)