Sima Mofakham

Dr. Sima Mofakham is an Assistant Professor in the Department of Neurosurgery at the Renaissance School of Medicine, Stony Brook University. Her research focuses on computational frameworks for understanding coma and consciousness dynamics, with an emphasis on advancing neuromodulatory therapies for severe traumatic brain injury (sTBI) patients. She leads the interdisciplinary Mofakham Mikell Lab, collaborating with experts in radiology, engineering, and statistics.

Education: PhD in Computational Neuroscience from the University of Michigan. Research spans computational neuroscience, neuroimaging, and machine learning applications in neurological disorders. Key projects include developing the 'SeeMe' system for early consciousness detection and non-invasive imaging techniques for brain AVM diagnosis.

Research Interests: Neuromodulation, dynamical systems modeling of consciousness, traumatic brain injury outcomes, and neurotechnology development. Current efforts integrate EEG/ECoG recordings with advanced algorithms to identify biomarkers for therapeutic efficacy.

Funding: NSF Growing Convergence Research Program (Award 2021002), FUSION-TRO Award, and the Paige Elizabeth Keely Foundation Grant. Active collaborations include work on primate thalamic nuclei function and BCI systems for locked-in syndrome patients.

Labs/Teams: Director of the Mofakham Mikell Lab at Stony Brook Medicine's Level I Trauma Center. Supervises multidisciplinary team including PhD candidates, medical students, and engineers focused on translational neuroscience projects.