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Kamal Choudhary is an Assistant Professor at the Johns Hopkins Whiting School of Engineering, specializing in Materials Science and Engineering with a joint appointment in Electrical and Computer Engineering. His research focuses on atomistic materials design utilizing classical mechanics, quantum mechanics, and machine learning methods to expedite experimental discovery. Choudhary previously served as a staff scientist at the National Institute of Standards and Technology (NIST) and is recognized for his development of the Joint Automated Repository Integrated Simulations (JARVIS) infrastructure for materials design. His contributions include the creation of AtomGPT.org and the ChatGPT Material Explorer, both aimed at advancing the integration of theory, simulation, and artificial intelligence in materials science. His research encompasses areas such as condensed matter physics, density functional theory, force fields, graph neural networks, and algorithms for quantum computing. Choudhary has significantly contributed to the computational discovery of various materials including 2D materials and thermoelectrics, having published over 100 peer-reviewed articles. He is a Fellow of the American Physical Society and serves on the editorial boards of several scientific journals, reflecting his active engagement in the academic community.
Department of Pathology - PhD in Pathobiology. GRE is not required.