معرفی
Tianyi Wang is a Lecturer I in the Department of Statistics at the University of Michigan, affiliated with the College of Literature, Science, and the Arts. Their academic work bridges statistical methodologies with healthcare applications, emphasizing clinical research, public health, and medical education. Research interests include personalized medicine, risk assessment tools, antibiotic consumption patterns, and patient-centered care innovations.
Notable research focuses on breast cancer screening strategies (via the WISDOM study), pediatric ophthalmology, and nurse navigation in oncology. They have published extensively on topics such as antibiotic use determinants in Nepal, sleep quality interventions in hospitals, and AI applications in healthcare. Tianyi’s work often combines biostatistical analysis with real-world clinical challenges, contributing to both methodological advancements and practical healthcare solutions.
Recent studies explore barriers to eye drop self-administration, chronic pain management in urology, and mentorship programs for underrepresented premedical students. Their interdisciplinary approach spans statistical modeling, epidemiological analysis, and patient outcome evaluations.
