Data Analytics & IT is focused on software tools necessary for data cleaning, retrieval, and management; data analyses and visualization; and analytics reporting for evaluation and implementation. Its Analytics Platform is a suite of tools, services, and datasets available to researchers across campus.
Amy Cohn, PhD
Assistant Workgroup Director
Amy Ellen Mainville Cohn is an Alfred F. Thurnau Professor in the Department of Industrial and Operations Engineering at the University of Michigan, where she also holds an appointment in the Department of Health Management and Policy in the School of Public Health. Dr. Cohn is the Associate Director of the Center for Healthcare Engineering and Patient Safety (CHEPS) and serves on the leadership team of the Institute for Healthcare Policy and Innovation (IHPI). She holds an AB in applied mathematics, magna cum laude, from Harvard University, and a PhD in operations research from the Massachusetts Institute of Technology. Her primary research interests are in applications of combinatorial optimization, particularly to healthcare and aviation, and to the challenges of optimization problems with multiple objective criteria.
Sebastian Zöllner, PhD
Assistant Workgroup Director
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.
- Develop a secure, robust, flexible, and adaptable research analytics platform for precision health at U-M
- Facilitate a working group of faculty and researchers representing diverse perspectives within precision health
- Pursue corporate partnerships/external funding to strengthen U-M’s reputation as a leader in this space
- Design and create an accessible, secure computational environment
- Encourage and facilitate the development and sharing of reusable data analytics tools
- Develop IT infrastructure for the integration of clinical decision support tools, to enable real-time prospective validation capabilities
- Coordinate with Cohort Development on the integration, storage, and organization of multimodal data within the platform, to allow for broader campus-wide use.
- Coordinate with Health Implementation to enable fast dissemination of results, e.g., validated treatments and corresponding protocols
- Build a broader community of researchers and students with interests in data analytics for health, and establish interdisciplinary partnerships to tackle precision health challenges in new ways