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.

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.

Sebastian Zöllner is a Professor of Biostatistics. He also holds an appointment in the Department of Psychiatry. Dr. Zöllner joined the University of Michigan after a postdoctoral fellowship in the Department of Human Genetics at the University of Chicago. His research effort is divided between generating new methods in statistical genetics and analyzing data. The general thrust of his work is problems from human genetics, evolutionary biology, and statistical population biology.