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Research Expertise & Professional Interests L. Adrienne Cupples, Ph.D. is Professor of Biostatistics and of Epidemiology. She has a long standing interest in statistical methods for epidemiologic studies, for survival data analysis and for genetic epidemiology. She has taught for thirty years at both the introductory and advanced levels. She developed several of the courses in the Biostatistics curriculum, including Statistical Methods for Epidemiology (BS852) and has received numerous teaching awards, including the Norman A Scotch Award for Excellence in Teaching at the School of Public Health. For her efforts in research she received the BUSPH Faculty Career Award in Research & Scholarship as the First Recipient. And she received the Janet L. Norwood Award for Outstanding Achievement by a Woman in the Statistical Sciences as the ninth recipient in 2010 and the 2012 L. Adrienne Cupples Award for Excellence in Teaching, Research and Service in Biostatistics. In 2014 she received the AHA Richard Remington Lecturer and in 2017 she received the International Genetic Epidemiology Society Leadership Award. She has collaborated in the Framingham Heart Study for more than 30 years on a variety of topics from risk factors for sudden death, nutritional epidemiology and most recently the genetic etiology of cardiovascular disease and its risk factors. She has served as Co-Principal Investigator of the NHLBI Contract to Boston University for the Framingham Heart Study and Co-Chair of the Framingham Genetics Steering Committee. She also has a long history with the study of the genetic etiology of Alzheimer’s disease in the MIRAGE Study (Multi-Institutional Research of Alzheimer’s Genetic Epidemiology) and of Huntington disease. She has been actively involved in genetic risk prediction and evaluation of how people interpret and respond to such predictions, particularly in the context of Alzheimer's disease through the REVEAL (Risk Evaluation and Education for Alzheimer's Disease) Study. She has directly mentored 15 students on their doctoral research and has served on many thesis committees.
Self-Described Keywords Epidemiology, Genetic

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  • Genetic epidemiology