Ricky C. Leung

Ricky C. Leung's work addresses critical gaps in the intersection of healthcare management and advanced technologies. As an Associate Professor at the School of Public Health, SUNY at Albany, he also serves as the Health Policy and Management Track Director. His research is primarily focused on the innovative applications of artificial intelligence and machine learning in healthcare settings, aiming to enhance efficiency and effectiveness in health management practices. Leung's academic journey has been marked by significant contributions to the field of public health, particularly through his research on data analytics and global health. His expertise in organization theory provides a robust framework for understanding complex healthcare systems and improving their operations. This unique blend of interests allows him to explore and address the multifaceted challenges faced by healthcare organizations today. In addition to his role at SUNY Albany, Leung has enriched his research portfolio through positions at prestigious institutions such as the Chinese University of Hong Kong and the National University of Singapore. These experiences have broadened his perspective and informed his approach to global health issues, enabling him to contribute valuable insights to the international public health community. Leung's scholarly work has been widely recognized, with publications in high-impact journals including Health Care Management Review, Research Policy, and The Lancet. His research not only advances academic discourse but also has practical implications for policy-making and management strategies in healthcare. Through his teaching and mentorship, Leung is committed to nurturing the next generation of public health professionals. He encourages his students to think critically about the role of technology in health management and to develop innovative solutions to pressing health challenges. His dedication to education and research continues to inspire those around him, fostering a collaborative environment for learning and discovery.