Affiliated Faculty

540 MIDAS affiliate faculty members 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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Puneet Manchanda

Puneet Manchanda

Using econometrics and machine learning methods to infer causality
Robert Manduca

Robert Manduca

Urban economic development, income inequality, regional

Murali Mani

Big data management, analytics and visualization
Z. Morley Mao

Z. Morley Mao

mobile and distributed systems, networks and security
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
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