Assistant Professor
Jacobs School of Medicine & Biomedical Sciences
Ageing; Artificial Intelligence; Biomedical Image Analysis; Biomedical Imaging; Biomedical Imaging; Brain Research; Image Analysis; Image Processing and Analysis; Imaging In Vivo; Inflammation; Inflammation; Magnetic Resonance Imaging (MRI) – High Resolution; Movement Disorders; MRI Methodology; Multiple Sclerosis; Muscle disease; Myelin Diseases; Neurobiology; Neurodegenerative Diseases; Neurodegenerative disorders; Neuroimaging Analysis; Neurology; Neuroradiology; Parkinson’s disease; Parkinson’s Disease; Quantitative Susceptibility Mapping; Quantitative Susceptibility Mapping; Radiology
With a background in computer science and image processing, my research focuses on the development and application of computational methods and tools for quantitative clinical neuroimaging. I have worked to develop new methods to better predict the onset, progression, and treatment of disease from multiparametric magnetic resonance imaging (MRI), as well as to more quickly and accurately determine outcomes in clinical trials based on new imaging biomarkers. I have also extensively investigated imaging measures of neuroinflammation, neurodegeneration, and repair in multiple sclerosis to help more fully elucidate the underlying mechanisms and dynamics of the disease. More broadly, I have collaborated with many clinical investigators to apply quantitative imaging methods to studies and trials in traumatic brain injury, neurovascular interventions, Parkinson’s disease, Alzheimer’s, and epilepsy. More recently, I have been involved in the development and application of quantitative imaging markers in the study of neuromuscular disorders as well.
Overall, my work strives to tie advanced research techniques back to clinically meaningful outcomes, with particular effort on eliminating barriers to their translation to routine clinical settings and imaging centers.