
Bappaditya Ray
Associate Professor · Neurocritical Care
University of Texas Southwestern Medical CenterAbout
Bappaditya Ray, M.D., is an Associate Professor in Neurology at UT Southwestern Medical Center with a secondary appointment in Neurological Surgery. He serves as Chief and Medical Director of Neurocritical Care at Texas Health Presbyterian Hospital Dallas. His academic career includes leadership roles in expanding Neurocritical Care units and advancing clinical research in stroke management. Dr. Ray holds dual appointments, reflecting his expertise in both clinical neurology and surgical neurology.
Education: Medical graduate from Nilratan Sircar Medical College (India). Specialized training in Anatomy and Developmental Neurobiology at All India Institute of Medical Sciences, New Delhi, with research on auditory pathway development. Completed neurology residency at the University of Arkansas for Medical Sciences and Neurocritical Care fellowship at UT Southwestern Medical Center.
Research Interests: Focuses on acute brain injury mechanisms, including hypercoagulability and immune responses in subarachnoid hemorrhage and ischemic stroke. He develops clinical prediction tools (e.g., CRIG score, GADIS score) and evaluates novel biomarkers for stroke outcomes. His work bridges clinical care and research through multicenter trials and imaging innovations.
Publications: Over 30 peer-reviewed articles, emphasizing stroke outcomes, clinical scoring systems, and neurocritical care innovations. Recent work explores telestroke efficacy, bundled treatments for subarachnoid hemorrhage, and stress-induced hyperglycemia biomarkers.
Awards: Recognized for medical education excellence, including the 2018 Outstanding Attending Physician and 2015 Most Influential Medical Educator awards. He mentors trainees in research across neurology and critical care.
Labs/Teams: Leads Neurocritical Care research initiatives at UT Southwestern, collaborating on clinical trials and translational studies in stroke and brain injury. His team develops quantitative imaging tools and predictive models for neurological outcomes.
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