About

I am a board-certified neurologist and movement disorders specialist at the University of Pennsylvania, where I serve as an Instructor of Neurology.

My work focuses on Parkinson's disease at the intersection of clinical care, bioinformatics, and artificial intelligence. I am particularly interested in whether predictive models and digital tools improve real decisions at the point of care.

Current Direction

• Developing clinically grounded fall risk prediction strategies in Parkinson's disease
• Building and validating natural language processing pipelines for extracting outcomes from electronic health records
• Advancing patient-centered digital outcome measurement for movement disorders research and trials

Approach

I prioritize clear clinical questions, transparent methods, and validation in realistic settings. My goal is not model novelty alone, but translation into tools that are useful, interpretable, and clinically responsible.