Background: Ph.D. Neuroscience, University of Virginia, Charlottesville, VA, expected 2019; B.S. Psychology, concentration in Neuroscience, University of Richmond, Richmond, VA, 2010; Research Lab Specialist, University of Richmond (Richmond, VA) 

Why data science to study health? MRI images contain a wealth of information that is not easily extracted through traditional analysis techniques. Data science, and machine learning in particular provide the opportunity to extract meaningful information from commonly obtained MRI images to advance the study of Parkinson's disease and other neurodegenerative processes.

The aim of our Presidential Fellows in Data Science research is to further understand the role that machine learning may serve in the clinical diagnostic process for Parkinson's disease.

Research Interests: Neuroscience, Parkinson's Disease, MRI, machine learning, deep learning

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