The Precision Health leadership team is composed of U-M faculty experts who bring a variety of valuable perspectives and approaches to their roles.
Michael Boehnke, PhD, Co-Director School of Public Health
Boehnke is the Richard G. Cornell Distinguished University Professor of Biostatistics, Director of the University of Michigan Center for Statistical Genetics and Genome Science Training Program, a member of the National Academy of Medicine, and a Fellow of the American Statistical Association and of the American Association for the Advancement of Science. Boehnke received an undergraduate degree in Mathematics from the University of Oregon and a PhD in Biomathematics from UCLA. He has been on the faculty at Michigan since 1984. His research focuses on problems of study design and statistical analysis of human genetic data, with an emphasis on development and application of statistical methods for human gene mapping. His current focus is on disease and trait association studies based on genome sequence and genotype-array data. Boehnke has more than 340 refereed publications.
Brahmajee Nallamothu, MD, MPH, Co-Director Medical School
Brahmajee Nallamothu is Professor in the Division of Cardiovascular Diseases and the Department of Internal Medicine at the University of Michigan. He received his MD from Wayne State University, and completed his residency and received a master’s in public health at the University of Michigan. He also completed research training through an Agency for Healthcare Research and Quality (AHRQ) fellowship at the University of Michigan School of Public Health. Nallamothu’s research interests lie in exploring how to improve the delivery and quality of specialized cardiovascular procedures across large patient populations. His research incorporates use of large claims data sources and clinical registries to understand optimal patterns of care delivery. He has worked extensively in the area of emergency heart attack care and sudden cardiac arrest. He directs the Michigan Integrated Center for Health Analytics and Medical Prediction (MiCHAMP), a multidisciplinary research team that includes clinical researchers in medicine and nursing, as well as methodology experts from computer science, engineering and statistics. His work has led to long-term collaborative efforts with investigators in various divisions in Internal Medicine and other departments and schools across campus.
Jenna Wiens, PhD, Co-Director College of Engineering
Wiens is an Associate Professor of Computer Science and Engineering (CSE) in the College of Engineering at the University of Michigan and heads the MLD3 research group. Her primary research interests lie at the intersection of machine learning, data mining, and healthcare. The overarching goal of her research is to develop the computational methods needed to help organize, process, and transform patient data into actionable knowledge. Her work has applications in modeling disease progression and predicting adverse patient outcomes. Prof. Wiens has been focused for several years on developing accurate patient risk stratification approaches with the goal of reducing the rate of healthcare-associated infections among US hospital patients.