Multiple Sclerosis Research Faculty | NYU Langone Health

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Multiple Sclerosis Research Multiple Sclerosis Research Faculty

Multiple Sclerosis Research Faculty

NYU Langone’s Division of Multiple Sclerosis comprises physician–scientists who lead innovative programs in multiple sclerosis research.

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Lauren B. Krupp, MD

Director, Division of Multiple Sclerosis
The Nancy Glickenhouse Pier Professor of Pediatric Neuropsychiatry, Department of Neurology
Expertise: multiple sclerosis and other central nervous system neuroimmune disorders, clinical assessment of pediatric multiple sclerosis, measurement of fatigue and cognitive function in multiple sclerosis across the age span
Methodological skills: clinical trial design for interventions to ameliorate multiple sclerosis–related symptoms, and assessment of fatigue and related symptoms

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Leigh E. Charvet, PhD

Director, Multiple Sclerosis Research
Professor, Department of Neurology
Expertise: neuropsychologic assessment and cognitive interventions, transcranial direct current stimulation (tDCS) and other noninvasive brain stimulation therapies, and telehealth
Methodological skills: cognitive and symptom assessment, teleinterventions, tDCS and noninvasive brain stimulation, and statistical analyses of cognitive markers

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Iyla Kister, MD

Professor, Department of Neurology
Expertise: multiple sclerosis, neuromyelitis optica, neurosarcoidosis, MOG antibody–associated disorders and related neuroinflammatory disorders of the central nervous system
Methodological skills: clinical and translation research related to improving diagnostic accuracy; developing novel tools for monitoring disease progression and symptom severity; and optimizing treatment outcomes in neuroinflammatory disorders; and clinical–radiologic correlation in multiple sclerosis

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Giuseppina Pilloni, PhD

Research Assistant Professor, Department of Neurology
Expertise: gait and balance measurements, noninvasive brain stimulation
Methodological skills: biomedical engineering with a focus on signal processing; study design; biostatistical analysis; remote data capture