The MIDAS affiliate faculty community consists of 340 U-M faculty members from over 60 departments.

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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Andrea Thomer

collaborative use of computational systems for scholarly research, data curation, scientific data practices

Michael Traugott

Mass media and their impact on American politics

Suleyman Uludag

Security, and optimization Smart Grid data, privacy

Mark P Van Oyen

Machine learning and optimization systems models for healthcare

Shravan Veerapaneni

Fast and scalable algorithms for differential and integral equations on complex moving geometries

Akbar Waljee

Use Data Science to promote high-value care in low resource settings.

Nils G. Walter

Intracellular single molecule, high-resolution localization

Naisyin Wang

Models and methodologies for complex biomedical data

Kevin Ward

Simultaneous monitoring and processing of a large number of physiological parameters

Lu Wei

Analytical properties of interacting particle systems

Brady West

Measurement error in auxiliary variables and survey data

Jenna Wiens

Machine learning and data mining for healthcare data

Terrence Wong

clonal hematopoiesis, leukemia evolution