The Clinical Neuro-Informatics Center at Mount Sinai is a group of neurologists, engineers, and health services researchers interested in disseminating knowledge and innovations about the intersection of digital health, clinical neurology, and clinical informatics. This area is an emerging subspecialty of neurology called clinical neuro-informatics.
We are focusing initially on applying health informatics to cerebrovascular and neurocritical care. We believe that dissemination of high-quality research can address the trust and adoption gap between the neurological community and health informatics innovation. Our aim is to empower the greater neurological community to leverage the rapidly expanding suite of clinical health informatics tools to improve patient outcomes.
Vision
We strive to create the neurology of tomorrow, where everyone affected by nervous system disorders can benefit from health information technology to advance neurologic health.
Mission
We will be the lighthouse of clinical neuro-informatics knowledge dissemination by aligning our research institute with multiple independent projects.
Appreciation
The Mount Sinai Health System is deeply thankful to the patients and families who entrust us with their neurological care. In addition, the Clinical Neuro-Informatics Center’s work would not be possible without the generous support of the Dean’s Office at the Icahn School of Medicine at Mount Sinai, the Estelle Maggin Department of Neurology at the Icahn Mount Sinai, and the Mount Sinai Health System.
Meet Our Team
The Clinical Neuro-Informatics Center is a “lab of labs,” consisting of cross-collaborative projects between individual research hubs sponsored by collaborating and affiliate faculty.
Benjamin Kummer, MD
Principal Investigator
Dr. Kummer earned a BA in biology and economics from the University of Pennsylvania and an MD from Drexel University College of Medicine. He completed his residency in neurology at the Neurological Institute of New York/Columbia University Medical Center training program and performed a vascular neurology fellowship at Weill Cornell Medical Center/New York-Presbyterian Hospital program and a clinical informatics fellowship at Columbia University under George Hripcsak, MD, MS. Dr. Kummer’s research interests include applications of cross-modality machine learning to aid in stroke diagnosis, management, and outcome prediction.
Asala Erekat, PhD
Postdoctoral Fellow
Dr. Erekat is a full-stack data scientist. Her doctoral degree is in Industrial and Systems Engineering, and she has more than seven years of experience in data science and advanced analytics. Her passion is simplifying complex concepts to enhance patient understanding of impactful solutions, and she specializes in operations research, machine learning, developing strategic solutions and full-stack applications to improve business efficiency. Outside of work, she is part of the Break Through Tech AI program at the Massachusetts Institute of Technology, where she mentors women and underrepresented students in data science. In her free time, she enjoys exploring new places, trying different cuisines, and tackling challenging jigsaw puzzles (including those all-white 1000-piece head-scratchers).
Parul Agarwal, PhD
Biostatistician
Mark Dakov, BS
Clinical Research Assistant