Chethan Pandarinath

Professor Pandarinath’s research centers on understanding neural population dynamics using computational and experimental approaches. His work advances neural decoding algorithms and brain-computer interface technologies by leveraging machine learning and neuroscience to elucidate how neural circuits encode and transform information. He also develops deep learning methods to uncover and interpret dynamics from large neural populations. Research efforts aim to bridge fundamental neuroscience with translational applications, enhancing neural prosthetics and rehabilitation strategies through quantitative models of brain activity.

Our work centers on understanding how the brain represents information and intention, and using this knowledge to develop high-performance, robust, and practical assistive devices for people with disabilities and neurological disorders. We take a dynamical systems approach to characterizing the activity of large populations of neurons, combined with rigorous systems engineering (signal processing, machine learning, and real-time systems) to advance the performance of brain-machine interfaces and neuromodulatory devices.

Contact: cpandar [at] emory [dot] edu