Fei Wang

Fei Wang is an esteemed associate professor in the Department of Population Health Sciences at Weill Cornell Medicine, Cornell University. With a profound expertise in data mining and machine learning, Dr. Wang's research is primarily focused on their applications within the realm of health data science. His innovative work has garnered significant recognition, earning him numerous prestigious awards throughout his career. Among his accolades, Dr. Wang has been honored with the NSF CAREER Award, a testament to his pioneering contributions to the field. He also received the inaugural research leadership award at the IEEE International Conference on Health Informatics, highlighting his influence and leadership in health informatics. Furthermore, his research excellence has been acknowledged by the Google Faculty Research Award, underscoring his impact on advancing data science methodologies. Dr. Wang is a distinguished fellow of several prominent organizations, including the American Medical Informatics Association, the International Academy of Health Sciences and Informatics, and the Association for Computing Machinery. These fellowships reflect his commitment to advancing the intersection of technology and healthcare, as well as his dedication to fostering innovation in these fields. One of Dr. Wang's most recent and notable achievements is receiving a $500,000 Faculty Early Career Development Award from the National Science Foundation. This award supports his groundbreaking research on developing sophisticated computer models aimed at predicting diseases, a project that holds significant promise for enhancing healthcare outcomes and disease prevention strategies. Through his work, Dr. Wang continues to push the boundaries of what is possible in health data science, leveraging his expertise to address complex challenges and improve patient care. His contributions not only advance academic knowledge but also have practical implications for the healthcare industry, making him a leading figure in his field.