Health informatics and data analysis
- Professor, Division of Environmental Health Sciences, School of Public Health
Timothy Church, PhD, is a professor in the Division of Environmental Health Sciences in the School of Public Health. A member of the Masonic Cancer Center’s Screening, Prevention, Etiology and Cancer Survivorship Research Program, his expertise is in cancer screening, colorectal cancer, medical device evaluation, biostatistics, epidemiologic methods, and clinical trial design. Dr. Church is currently leading multiple trials and studies regarding colorectal, prostate, lung, and ovarian cancer, and has recently established a registry for Parkinson’s Disease research. His primary research interests include clinical trials and epidemiological studies related to screening for and prevention of multiple cancers, as well as the development of biostatistical and epidemiologic methods. He teaches Occupational and Environmental Epidemiology and a doctoral seminar on causal inference.
- Clinical Professor, School of Nursing
- Assistant Dean for Faculty Practice, Partnerships and Professional Development
Thomas Clancy, PhD, MBA, RN, a clinical professor in the School of Nursing, can speak to nursing informatics and complex systems in healthcare. He is knowledgable on the topics of simulated and computer or device-based "gaming" to learn in healthcare and new information technology return on investment. His research focus on optimizing healthcare processes through computer and device simulated modeling.
- Assistant Professor of Biostatistics, School of Public Health
Julian Wolfson, PhD, is an assistant professor of Biostatistics at the School of Public Health. His main interest is in developing tools to extract meaning from large, messy datasets across a variety of domains including infectious disease, health care systems, and smartphone sensor technology. Dr. Wolfson is available for comment on anything related to statistics, big data, clinical trials, electronic health record data, and how people are collecting and using smartphone data to understand behavior and improve health.