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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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
Eric Michielssen

Eric Michielssen

Theoretical, and computational electromagnetics, applied
Rada Mihalcea

Rada Mihalcea

Natural language processing, and applied machine learning, information retrieval
Christopher Miller

Christopher Miller

Astronomical data mining and computational astrostatistics

Gregory S. Miller

Managerial communications in the finance sector

A.J. Million

Civic engagement, ICTs, Library science, Public administration, Research data management
Sarah Mills

Sarah Mills

renewable energy development outcomes in rural communities

Brian Min

Political economy of development

Jouha Min

Biointerface engineering, Biosensors, Nanomaterials

Cristian Minoccheri

Computational medicine, interpretable machine learning, tensor methods

Aditi Misra

Demand and impact modeling, Spatio-temporal data analytics, Travel behavior
Colter Mitchell

Colter Mitchell

Causes and consequences of family formation behavior
Talia Moore

Talia Moore

comparative phylogenetics, data-driven design, experimental design, stimulus selection