Computational Neuroscience, Neuroimaging, Machine Learning, Signal Processing, Optimization
About
His research involves using neuroimaging datasets to understand the underlying principles and mechanism that govern cognitive function and how they get disrupted due to various brain-related disorders. His long-term goals are to develop data-driven methods that could be used in next generation neural implants for improvement of cognitive function and quality of life in both patients and healthy individuals.
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