Timothy R. Rebbeck is the founding director of the Zhu Family Center for Global Cancer Prevention at the Harvard Chan School. Professor Rebbeck joined the Dana-Farber Cancer Institute and the Harvard TH Chan School in 2015 as the Vincent L. Gregory, Jr. Professor of Cancer Prevention. Professor Rebbeck serves as the director for the Zhu Family Center for Global Cancer Prevention Harvard TH Chan School of Public Health and the…
Edward Briercheck earned his B.S. in Biology at the University of Toledo. He earned his MD and PhD at The Ohio State University where he joined Michael Caligiuri’s lab investigating mechanisms of human natural killer cell biology. He then did his internal medicine residency in the global health equity pathway Boston Medical Center. After residency he was Fulbright Scholar to Guatemala at the Instituto de Cancerología y Hospital Dr. Bernardo…
Barbra Dickerman’s research is focused on using methods in causal inference and machine learning and the vast amount of information available in health care to improve and personalize cancer control. She is the co-director of the VA-CAUSAL Methods Core, an initiative of the U.S. Veterans Health Administration to integrate high-quality data and explicitly causal methodologies in a nationwide learning health system. Barbra teaches causal inference methodology within the Department of…
Karen Emmons is a behavioral scientist with a strong track record of funded research in community-based approaches to cancer prevention in a variety of settings that serve disadvantaged populations, including low-income housing and community health centers. Her work targets a range of cancer risk factors, including nutrition, physical activity, sun exposure, tobacco and second-hand smoke exposure, and cancer screening. Her research teams have included interdisciplinary perspectives on cancer risk reduction…
Lydia Conley has several years of administrative and development experience, including serving as a major gifts officer at Massachusetts General Hospital, a Harvard-affiliated academic medical center.
Wendy Garrett focuses her research on the interplay between the gastrointestinal immune system and the gut microbiota in health, inflammatory bowel disease, and colorectal cancer. Her work in mucosal immunology examines how the gut microbiota influence both innate and adaptive populations and the contribution of these cells to immune homeostasis and disease. Garrett has identified specific species, pathways, and metabolites produced by the microbiota that influence health and disease states.…
As the Zhu Center’s Senior Program Manager, Susan will be charged with developing, implementing and expanding projects and partnerships aimed at improved cancer prevention and early detection. Susan brings years of experience in higher education project management, most recently at the Harvard Medical School Office for Diversity Inclusion & Community Partnership (DICP) where she served as the Project Manager for their ‘Better Together’ Program.
In addition to his academic appointments at the Harvard Chan School and Harvard Medical School, Frank Hu serves as co-director of the Program in Obesity Epidemiology and Prevention at the Harvard Chan School and as 7 director of the Boston Nutrition and Obesity Research Center Epidemiology and Genetics Core. Hu received his MD from Tongji Medical College in China and his PhD in epidemiology from the University of Illinois at…
Jane Kim focuses her research on the development and application of mathematical modeling methods to evaluate health policy issues, with a strong interest in women’s health. She has led the evaluation of the cost-effectiveness of prevention strategies against cervical cancer and other HPV-related diseases for informed decision making globally, working closely with the National Cancer Institute, the Bill & Melinda Gates Foundation, the World Health Organization, and most recently, the…
Giovanni Parmigiani investigates statistical principles and tools, often with a focus on understanding cancer data. For example, he is currently interested in addressing the challenges of cross-study replication of predictions, by constructing predictors that learn replicability from being trained on multiple studies at once. He also has a long-term interest in helping families who are particularly susceptible to inherited cancer understand their risk and make informed decisions. He uses Bayesian…
