Project 2 Faculty
Yi Li (Project Co-Leader) firstname.lastname@example.org Cancer surveillance plays a key role in cancer prevention and intervention. The analysis of cancer surveillance data, however, is often challenged by complex data-related issues and underdeveloped statistical methods. Project 2 concerns with developing methods to solve statistical issues related to cancer surveillance studies. In particular, a variety of novel statistical methods are proposed for surveillance and spatial clustering detection. Articles: PubMed, Google Scholar.
Miguel Hernan (Project Co-Leader) email@example.com My research is focused on methodology for causal inference, including comparative effectiveness of policy and clinical interventions. Besides our work on cancer, my collaborators and I compare interventions for the prevention and treatment of cardiovascular disease, as well as clinical strategies involving antiretroviral therapy for HIV-infected patients and erythropoiesis-stimulating agents for dialysis patients. This work is carried out in collaboration with investigators from Harvard Medical School and the Nurses' Health Study, the HIV-CAUSAL Collaboration, MTPPI, and the Spanish Centre for Pharmacoepidemiologic Research. Articles: PubMed, Google Scholar.
Francesca Dominici firstname.lastname@example.org My main research focuses on developing statistical methods for integrating and analyzing large and heterogeneous datasets to evaluate the health impacts of new discoveries and interventions. I am committed to: 1) advance statistics by disseminating new methodology that better accounts for confounding and model misspecification in drawing inferences from large observational studies; and 2) apply the newly developed methodology to large and complex databases to address critical questions in public health and to impact policy. Articles: PubMed, Google Scholar.
Louise Ryan email@example.com After growing up in Australia, Dr Louise Ryan left to do her PhD in the Harvard Statistics Department and then stayed for a postdoctoral fellowship and then a faculty position in the Department of Biostatistics at Harvard School of Public Health. In 2007 she became the Henry Pickering Walcott Professor and Chair of the Department. Dr Ryan has enjoyed a distinguished career, working in wide range of applications, including cancer clinical trials, and preclinical studies of carcinogenicity and teratology. Her more recent work has focused on statistical methods for analysing observational data, especially in the context of environmental health studies. In 2009, Dr Ryan returned to her home country to take up her current position as Chief of Mathematics, Informatics and Statistics at the Commonwealth Scientific and Industrial Research Organization (CSIRO). A world class science agency, CSIRO's mission is to tackle the issues and challenges that matter to Australia. Dr Ryan's division, CMIS, provides the CSIRO's quantitative foundation and has almost two hundred staff members working on collaborations ranging from health to financial services, environmental modelling to biology and minerals exploration. Dr Ryan's own research interests lie in the area of health and environment. Recently she has worked on the development and application of computationally efficient approaches to the spatio-temporal analysis of large health databases. This is also the focus of her involvement with the PO1. You can read more about Dr Ryan's job at CSIRO. Articles: PubMed, Google Scholar.