520 MIDAS affiliate faculty members come from over 60 U-M departments, and include instructional (tenure / tenure track / lecturer), clinical and research track faculty.
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Use Data Science to promote high-value care in low resource settings.
Intracellular single molecule, high-resolution localization
Natural language processing
Models and methodologies for complex biomedical data
built environment, landscape architecture, machine learning, stormwater management, stream water quality, urban hydrology
two-sided markets and antitrust policy.
Civil and Environmental Engineering
AI in Education, Data Science Education, Human-Computer Interaction, learning at scale
Large-scale probabilistic machine learning, causal inference, machine learning for science
Simultaneous monitoring and processing of a large number of physiological parameters
Understanding biotic responses to global change