Cornell University / Professor, BrainWire / CEO
Ashish Raj, PhD, has more than 15 years experience in computer vision, signal processing, graph theory and the application of computational methods to medical imaging. During a faculty career beginning 2006, he has had continuous and successive experiences in forming and leading research teams comprising of basic and clinical scientists in executing NIH-funded research projects. A unique feature of his work has been inter-disciplinarity, where he has applied his computational expertise in solving problems in medicine and neuroscience.
Dr. Raj has published more than 60 peer-reviewed journal papers and hold/have held five NIH grants (R01, R21, P41) as PI or Project PI. These grants were awarded for research on Graph Cut energy minimization for accelerated MRI reconstruction, graph theoretic modeling of dementia and Parkinson’s and network models of brain activity. The lattermost grant was funded under the high-profile BRAIN initiative. His R01 on dementia modeling was selected for the prestigious EUREKA award by NINDS, which supports highly innovative but risky research. His laboratory at Cornell is focused on developing graph theoretic models of all brain phenomena, including neurological diseases and the characteristics of brain signals (fMRI, EEG, MEG). His current work focuses on “connectomics” research generally and the modeling of the spread of neurodegenerative pathology in the human brain specifically.