I am committed to using data to improve patient care and patient outcomes, particularly using machine learning and electronic health records. I am board-certified in clinical informatics, neurology, vascular neurology, and neurocritical care), and hold a MSPH in biostatistics. Our model for clinical discovery combines in-person patient ascertainment and adjudicated data, queries of the electronic health record, and analysis of large data sets. These data are subjected to the continuum of analysis from statistics ("white box") to machine learning/data science ("black box") algorithms to derive insights and advance patient care. Manuscripts from my team are frequently cited in guidelines, and several have changed the standard of care and widespread patient practice (e.g., prophylactic seizure medications). I co-authored the guidelines for the management of aneurysmal subarachnoid hemorrhage (American Heart Assn) and neurologic monitoring (Neurocritical Care Society). I serve as the Faculty Director for the Master of Science in Health Analytics program at NU's School of Professional Studies and I serve as Program Director for the Neurocritical Care fellowship.

Biostatistics, machine learning, data science, natural language processing, neurocritical care, stroke, neurology

Neurocritical care, critical care, stroke, clinical informatics