Qasim Bukhari

Dr. Qasim Bukhari is a computational neuroscientist affiliated with the McGovern Institute for Brain Research at the Massachusetts Institute of Technology (MIT). He collaborates with prominent researchers such as John D. E. Gabrieli. His work integrates advanced engineering tools and machine learning to address translational and basic neuroscience questions, focusing on understanding normal and abnormal brain functions through MRI, fMRI, and DTI data analysis.

Trained under leading neuroscientists including Terry Sejnowski and Klaas Enno Stephan, Bukhari develops software for preclinical, clinical, and basic MRI research. His research emphasizes predicting treatment outcomes and investigating brain connectivity differences across neurological conditions. The McGovern Institute serves as his primary research hub, where he explores the neuroscience basis of brain disorders.