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Pulkit Grover is an Associate Professor at the Carnegie Mellon University’s Neuroscience Institute, where he contributes significantly to the field of Electrical and Computer Engineering. His research focuses on understanding the neural circuits that underpin various cognitive and motor functions. He applies computational methods to explore how neural systems learn, perceive, and adapt to stimuli. His work encompasses aspects of computational neuroscience, including the characterization of neural circuits, learning and memory processes, and the development of non-invasive brain monitoring technologies. Grover’s innovative approaches often merge mathematical and statistical methods with engineering techniques to tackle complex neurological disorders and enhance brain-machine interfaces. He is dedicated to advancing neural engineering and is involved in pioneering research that intersects affective and clinical neuroscience with practical applications in technology and health.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.