The MIDAS affiliate faculty community consists of >360 U-M faculty members from over 60 departments.
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Fast and scalable algorithms for differential and integral equations on complex moving geometries
Use Data Science to promote high-value care in low resource settings.
Intracellular single molecule, high-resolution localization
Models and methodologies for complex biomedical data
Simultaneous monitoring and processing of a large number of physiological parameters
Analytical properties of interacting particle systems
Measurement error in auxiliary variables and survey data
Machine learning and data mining for healthcare data
clonal hematopoiesis, leukemia evolution
Statistical methods for precision medicine
Control, Learning, and design of autonomous systems
latent variable models, psychometrics, statistics