Assistant Professor of Nursing
Columbia University
New York, New York, United States
Christian Cansino, DNP, CRNA, FNP, ACNP is an Assistant Professor of Nursing in the Nurse Anesthesia Program at Columbia University School of Nursing, where he teaches pharmacology and anesthesia crisis resource management simulation. He holds dual nurse practitioner licenses in Family Primary Care and Adult Acute Care, and actively practices as a Certified Registered Nurse Anesthetist (CRNA) as a 1099 independent contractor across several hospitals and clinics in New York, including NYU Langone Hospital–Long Island and Jamaica Hospital Medical Center.
Dr. Cansino earned a Bachelor of Science in Health Science from Boston University, a BSN and MSN from Pace University, and both a Master of Science and Doctor of Nursing Practice (DNP) degree from Columbia University. He is currently pursuing an MBA at Columbia Business School with a focus on healthcare artificial intelligence, machine learning, and venture capital.
A passionate advocate for global health equity, Dr. Cansino has participated in numerous international medical missions and humanitarian relief efforts in the Philippines, India, Ecuador, the Dominican Republic, and Kenya. His latest global initiative is the development of a bilateral learning and training exchange program with the nurse anesthesia program at the American International University of West Africa in Banjul, The Gambia.
His research interests include the application of AI in healthcare education, particularly in the use of machine learning for high-fidelity simulation, the prevention and management of postoperative nausea and vomiting in oncology patients, and the design of clinical decision support tools for anesthesia providers.
Dr. Cansino is also the founder of Cansino Health Ventures, a healthtech startup focused on creating next-generation AI-powered solutions for anesthesia education and clinical care. The company developed an agentic AI-based Learning Management System and innovative smart health solutions for patients with G/GJ feeding tubes. His long-term vision includes democratizing access to AI tools in resource-limited settings and investing in early-stage digital health and medtech ventures to advance global healthcare outcomes.
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Tuesday, August 12, 2025
10:45 AM - 11:00 AM CT