The MIDAS affiliate faculty community consists of 340 U-M faculty members from over 60 departments.
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collaborative use of computational systems for scholarly research, data curation, scientific data practices
Mass media and their impact on American politics
Security, and optimization Smart Grid data, privacy
Machine learning and optimization systems models for healthcare
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