Affiliated Faculty

500 MIDAS affiliate faculty members come from over 60 U-M departments, and include instructional (tenure / tenure track / lecturer), clinical and research track faculty.

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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Xu Wang

AI in Education, Data Science Education, Human-Computer Interaction, learning at scale

Yixin Wang

Large-scale probabilistic machine learning, causal inference, machine learning for science

Naisyin Wang

Models and methodologies for complex biomedical data
Runzi Wang

Runzi Wang

built environment, landscape architecture, machine learning, stormwater management, stream water quality, urban hydrology

Kevin Ward

Simultaneous monitoring and processing of a large number of physiological parameters
Brian Weeks

Brian Weeks

Understanding biotic responses to global change

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
Zhenke Wu

Zhenke Wu

Statistical methods for precision medicine
Picture of Besa Xhabija

Besa Xhabija

cancer, environmental exposure, natural products, stem cells, toxicology