Qasim Bukhari MS, PhD

Dr. Bukhari is a computational neuroscientist with a background in Electrical Engineering, Computer Vision and Artificial Intelligence. This decade has witnessed a boom in artificial intelligence and our understanding of the human brain. Dr. Bukhari uses the artificial intelligence tools to help further our understanding of the human brain. He is an expert in signal processing, multivariate pattern recognition and machine learning. His unique contribution to research is the integration of sophisticated engineering tools to ask translational and basic neuroscience questions by combining his expertise in neuroscience and engineering. He has developed software for basic psychology, preclinical and clinical MRI research. In his past work, he used pre-clinical, clinical and basic psychological brain data from fMRI, MRI and DTI to study the relationship between different conditions, identify differences in brain connectivity and investigate the neuroscience basis of those differences, while working under the supervision of world famous neuroscientists including John Gabrieli, Terry Sejnowski and Klaas Enno Stephan.