Affiliated Faculty

MIDAS works to foster interdisciplinary research collaboration across campus with our community of 550 affiliate faculty members, who come from over 60 U-M departments, and include instructional (tenure / tenure track / lecturer), clinical and research track faculty.


Use this box to search by name, department, or other keyword. Use the filters below to search by major data science methodologies or applications.


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John E Marcotte

John E Marcotte

Data Management, Data Security, Data Sharing, Discrete Data

Jason Mars

Sophisticated salable systems for A.I., and natural language processing, computer vision
Maria Masotti

Maria Masotti

Bayesian, biostatistics, imaging, spatial statistics

Neda Masoud

Sharing economy and connected and automated vehicle technology for the future of mobility
Johanna Mathieu

Johanna Mathieu

Power system control and optimization
Bruce Maxim

Bruce Maxim

serious game design, software engineering, testing, user experience design
Charles Mayo

Charles Mayo

Analytical tools for clinical practice evaluation
Brian P. McCall

Brian P. McCall

Labor economics, program evaluation and the economics of education
Jeffrey S. McCullough

Jeffrey S. McCullough

Technology and innovation in health care

Timothy McKay

Improving postsecondary student outcomes using digital data
Cam McLeman

Cam McLeman

GNNs, Graph theory, Markov chains, Number theory

Walter Mebane

Statistical analysis of election results
Qiaozhu Mei

Qiaozhu Mei

Information retrieval and text mining

Carol Menassa

Modeling interconnections between human experience and the built environment
Niccolò Meneghetti

Niccolò Meneghetti

probabilistic databases, statistical relational learning and uncertain data management
Dr. Briana Mezuk

Briana Mezuk

depression, epidemiology, integrative lifespan, suicide aging