The Department of Biostatistics is one of the original departments of the Graduate School of Public Health at the University of Pittsburgh, which was founded in 1949. The Department provides training in statistical methodology and application leading to a PhD, MS or MPH degree. The Department also offers extensive collaborative opportunities with various disciplines on campus including the other departments in Graduate School of Public Health, Medical Informatics and Internal Medicine in School of Medicine, Children’s Hospital at Pittsburgh, School of Nursing, School of Dental Medicine, School of Information Sciences, and Computer Science, Computational and Systems Biology, Statistics in School of Arts and Sciences.
Our faculty members play leadership roles in major research centers/institutes such as University of Pittsburgh Cancer Center (UPCI) Biostatistics Facility, Western Psychiatric Institute and Clinic (WPIC) Biostatistics Facility, NRG Oncology Statistics and Data Management Center (previously National Surgical Adjuvant Breast and Bowel Projects (NSABP) Biostatistical Center), Center for Occupational Biostatistics and Epidemiology (COBE), Cystic Fibrosis Center, and Clinical and Translational Science Institute (CTSI).
The practical experience of the faculty in addressing “real world problems” helps the students “bridge the gap” between their theoretical knowledge and the need for addressing real, complex, multidisciplinary public health and biomedical problems. Graduates from our program have assumed leadership roles in academia, industry, and government nationally and internationally. Our faculty members are engaged in method development in both traditional and modern statistics and publish their method and collaborative papers in top-tier peer reviewed journals.
Recent research areas of our faculty members include Bioinformatics, Clinical Trials, Dynamic Treatment Regimes, Environmental Health, Epidemiology, Genomics, Machine Learning, Longitudinal Data Analysis, Missing Data, Mobile Data, Neuro Imaging, Personalized Medicine, Proteomics, ROC, Stochastic Modeling, Time Series, Time-to-Event Analysis.
Thank you for your interest in our department! We look forward to meeting with you in the near future.
Jong H. Jeong, Interim Chair