Welcome to the Second Annual Neurology Research Symposium

Lidia Moura, M.D., Ph.D. | Harvard Medical School & Massachusetts General Hospital

Dr. Lidia Moura is a neurologist and researcher at Harvard Medical School and Massachusetts General Hospital, where her work focuses on the application of artificial intelligence and advanced neurophysiological techniques to neurological disorders. Her research integrates EEG analysis, machine learning, and clinical neurology to improve diagnosis, prognostication, and treatment of patients with acute brain injuries, including stroke and disorders of consciousness. Dr. Moura’s work aims to bridge the gap between complex neurological data and real-time clinical decision-making, helping translate AI-driven insights into meaningful improvements in patient care. She has been widely recognized for her contributions to neurocritical care and computational neurology, and her research continues to shape how AI is integrated into modern neurological practice.

Shishir Shah, Ph.D. | University of Oklahoma

Dr. Shishir Shah is the Chief AI Officer at the University of Oklahoma and a professor with extensive expertise in artificial intelligence, biomedical engineering, and medical imaging. His work focuses on developing and implementing AI-driven solutions to improve healthcare delivery, diagnostics, and clinical workflows. Dr. Shah has led numerous interdisciplinary initiatives that integrate machine learning with real-world clinical applications, with a strong emphasis on translating AI innovations into scalable and impactful healthcare solutions. His leadership plays a key role in advancing the adoption of artificial intelligence across academic medicine and clinical practice.

Benjamin Kummer M.D. | Mount Sinai

Dr. Benjamin Kummer is a vascular neurologist, clinical informaticist, and Associate Professor of Neurology at Mount Sinai, where he works at the intersection of stroke care, digital health, and artificial intelligence. His work focuses on developing and implementing technology-enabled solutions that improve the quality and efficiency of neurological care, including clinical decision support tools, predictive analytics, and telehealth systems. He also holds an appointment in Mount Sinai’s Windreich Department of Artificial Intelligence and Human Health, reflecting his leadership in bringing AI into real-world neurological practice.

Oana M. Dumitrascu M.D. | Mayo Clinic

Dr. Oana Dumitrascu is a Professor of Neurology at Mayo Clinic whose academic and clinical work centers on stroke, cerebrovascular disease, and cognitive disorders related to vascular and neurodegenerative conditions. Her research explores innovative systems of care, including telestroke and tele-ophthalmology, and she is actively evaluating how artificial intelligence can strengthen these models to improve diagnosis, access, and outcomes in neurological care. Her perspective brings together clinical excellence, systems innovation, and the expanding role of AI in modern neurology. 

Michel T. Torbey, MD, MPH, MBA., FAAN, FANA, FNCS, FAHA

Dr. Michel Torbey serves as the Chair of the Department of Neurology at the University of Oklahoma College of Medicine and as Clinical Service Chief of Neurology at OU Health. An internationally recognized physician-scientist specializing in vascular neurology and neurocritical care, Dr. Torbey has made significant contributions to stroke research and patient care. Prior to joining OU, he was a professor and chair at the University of New Mexico, where he expanded specialized services and research initiatives. Dr. Torbey has authored over 200 publications and has held leadership positions in several professional organizations, including serving as past president of the Neurocritical Care Society. Dr. Torbey’s research centers on advancing the understanding and treatment of acute neurological emergencies, with a particular focus on intracerebral hemorrhage, stroke recovery, and innovations in neurocritical care.

Calin I. Prodan, MD, FANA

Dr. Calin Prodan is a Professor of Neurology at the University of Oklahoma Health Sciences Center and holds the Ethelyn McElwee Endowed Chair in Alzheimer’s Research. He specializes in dementia and behavioral neurology, focusing on the diagnosis of cognitive impairment in earliest stages of memory loss. His research interests include synergistic research on age-related manifestations of cerebrovascular disease, by exploring mechanisms underlying the link between platelet biology and vascular changes leading to long-term neurological consequences and cognitive decline. Dr. Prodan has published extensively on topics including platelet pro-coagulant potential, cognitive aging, biomarkers, and neuroimaging.

Faddi G. Saleh Velez, MD

Dr. Faddi Saleh Velez is an Assistant Professor of Neurology at the University of Oklahoma Health Sciences Center and serves as the Associate Director of the Vascular Neurology Fellowship Training Program and Co-Director of the Brain Stimulation and Neurorehabilitation Laboratory at OUHSC. He earned his medical degree from Colegio Mayor de Nuestra Señora del Rosario in Colombia, and completed a post-doctoral fellowship in neuromodulation and clinical research at Harvard University followed by training in neurology residency at the University of Chicago and a vascular neurology fellowship at the University of Miami. His research interests include neurovascular effects of non-invasive brain stimulation techniques in neuropsychiatric disorders such as stroke, neuropathic pain, vascular related cognitive impairment and he has been recognized in the Future Stroke Leaders program from the World Stroke Organization as well as Diversity leaders program from the American Academy of Neurology. As principal investigator for multiple clinical trials and site PI for StrokeNet studies at OUHSC, he actively advances stroke research.

We encourage trainees, residents, fellows, researchers, scientists, attendings, and staff to submit abstracts highlighting their work.
Selected abstracts will be featured as oral presentations or posters during the symposium.

Submission guidelines:

• Abstracts should be no more than 400 words.
• Include title, authors, affiliations, and a structured abstract (Background, Methods, Results, Conclusion).
• Up to 3 images are accepted with submission
• For trainees – Include attending/mentor/supervisor
• Case reports will only be accepted for medical students and trainees at the level PGY1 and PGY2
• Abstract submission opening: April 20th, 2026
• Deadline for submission: May 18th, 2026 (5:00 PM)
• Notifications of acceptance will be sent by May 29th, 2026

Please submit your abstract after completing registration by following the link on the registration confirmation page.

Registration is open to all OUHSC staff, neurologists, researchers, residents, fellows, students, and other professionals interested in AI in neurology.

Registration includes:

• Access to keynote talks, invited lectures, and trainee presentations
• Breakfast, lunch, and networking opportunities
• Access to the poster session and award ceremony

Register