Distribution of MIDAS affiliate faculty by primary college, school, or unit.
Affiliated Faculty
Yearly faculty collaborations on grant proposals since 2018, facilitated by MIDAS. Image credit: Bernardo Modenesi (MIDAS Data Science Fellow), Beth Uberseder (MIDAS Research Manager), and Ken Reid (MIDAS Data Scientist).
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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.
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Briana Mezuk
depression, epidemiology, integrative lifespan, suicide aging
Eric Michielssen
Theoretical, and computational electromagnetics, applied
Rada Mihalcea
Natural language processing, and applied machine learning, information retrieval
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
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
Colter Mitchell
Causes and consequences of family formation behavior
Talia Moore
comparative phylogenetics, data-driven design, experimental design, stimulus selection
Jeffrey Morenoff
Spatial inequality, criminal justice, incarceration, neighborhood change
Emily Mower Provost
Emotion modeling and assistive technology
Barzan Mozafari
Practical database solutions to real-world problems
Bhramar Mukherjee
Bayesian methods in epidemiology and gene-environment interaction