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Nima Mesgarani is an Associate Professor at the Data Science Institute at Columbia University. His research focuses on information processing of acoustic signals and interface engineering in neuroscience. By employing an interdisciplinary research approach, Mesgarani aims to bridge the gap between signal processing and brain research, which inspires novel methodologies to emulate human capabilities in machines. His integrated research pursuits contribute to a scientific understanding of the brain, the development of speech processing algorithms for automated systems, and innovative techniques in Brain-Machine Interfaces and neural prostheses. Mesgarani earned his PhD in Electrical Engineering from the University of Maryland and has served as a postdoctoral researcher at the Center for Language and Speech Processing at Johns Hopkins University and the Neurosurgery Department at the University of California, San Francisco.
Department of Anthropology (GSAS)