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.
Sachin Kheterpal, MD, MBA, Co-Director Medical School
Kheterpal is a professor of anesthesiology and associate dean for research information technology at the University of Michigan Medical School. He received his bachelor’s, medical degree, and master’s in business administration from the University of Michigan. Kheterpal’s career has been focused on the novel use of IT and electronic health records for patient care, quality improvement, and research. He is recognized as a national leader in perioperative large dataset clinical research and has published numerous articles, editorials and book chapters regarding intraoperative management and long-term postoperative outcomes. Using innovative techniques to integrate administrative, EHR, and registry data across institutions, he leads the Multicenter Perioperative Outcomes Group (MPOG), a research and quality improvement consortium of more than 40 anesthesiology and surgical departments.
Jenna Wiens, PhD, Co-Director College of Engineering
Wiens is an Assistant 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.