Cui Tao, Ph.D., is the Nancy Peretsman and Robert Scully Chair of Artificial Intelligence and Informatics, Vice President of Mayo Clinic Platform Informatics, and co-Deputy Director of AI and Data Science at the Mayo Clinic Comprehensive Cancer Center. With a robust background in computer science and clinical informatics, Dr. Tao is an internationally recognized expert in medical informatics and the application of artificial intelligence in healthcare. Her leadership continues to drive innovation at the intersection of data science and medicine.
Dr. Tao earned her Ph.D. in Computer Science from Brigham Young University in Provo, Utah. She went on to complete her postdoctoral training at Mayo Clinic, where she began focusing on biomedical informatics and applying computational methods to real-world clinical problems. This early work laid the foundation for a distinguished career in healthcare AI research and development. She is an elected Fellow of the American College of Medical Informatics (ACMI), a recognition awarded to individuals who have made significant and sustained contributions to the field. In addition, Dr. Tao received the prestigious Presidential Early Career Award for Scientists and Engineers (PECASE), one of the highest honors granted by the U.S. government to researchers in the early stages of their careers. The award was presented by President Barack Obama in recognition of her innovative and impactful work.
Dr. Tao’s scholarly accomplishments are both exceptional and widely acknowledged. Since 2009, she has consistently secured funding from the National Institutes of Health (NIH), with cumulative support totaling over $40 million. She has published more than 250 peer-reviewed articles.
At Mayo Clinic Florida, Dr. Tao leads several initiatives advancing the use of AI in precision medicine, predictive modeling, and clinical decision support. Her work integrates machine learning, natural language processing, and ontology development to enable intelligent healthcare systems. She has extensive experience with large-scale clinical and public health datasets and has developed cutting-edge tools for knowledge extraction and semantic data integration.
Dr. Tao’s research spans multiple domains, including biomedical ontologies, AI-enabled clinical research, and translational informatics. Dr. Tao’s visionary contributions continue to shape the future of AI in healthcare, bridging the gap between data-driven research and clinical practice to improve patient outcomes.