Yongfei Wang

Professor advancing research in statistical analytic methods, Yongfei Wang is a Lecturer in Medicine (Cardiology) and Senior Statistician at Yale School of Medicine. With over a decade of experience, Professor Wang has made significant contributions to the field of biochemistry, particularly in the development and validation of mortality measures and the modeling of medical record and claims data. His work is pivotal in enhancing the quality of care research and advancing health care-related informatics. Professor Wang's research interests are deeply rooted in statistical analytic methods, where he applies his expertise to improve the accuracy and reliability of health care data. His efforts have been instrumental in the creation of new measures within registry data, which are crucial for evaluating and improving patient care outcomes. Additionally, his involvement with NIH grants underscores his commitment to advancing medical research through rigorous statistical analysis. In his role at Yale, Professor Wang collaborates with a diverse team of researchers and clinicians to address complex challenges in health care. His work not only contributes to the academic community but also has practical implications for improving health care delivery systems. By leveraging medical record and claims data, he aims to develop innovative solutions that enhance the quality and efficiency of health care services. Beyond his research, Professor Wang is dedicated to mentoring the next generation of scientists and statisticians. He actively engages with students and colleagues, fostering an environment of learning and collaboration. His passion for teaching and research is evident in his commitment to advancing the field of biochemistry and improving health care outcomes through data-driven insights. Professor Wang's contributions to the field have been recognized through various publications and presentations at national and international conferences. His work continues to shape the future of health care research, making a lasting impact on the way quality of care is measured and improved.