The MIDAS affiliate faculty community consists of >400 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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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

Zhenke Wu

Statistical methods for precision medicine

Shaobing Xu

Control, Learning, and design of autonomous systems

Gongjun Xu

latent variable models, psychometrics, statistics

Hongwei Xu

The role of geography in shaping population health

Ming Xu

Computational and data-enabled methodology for sustainability

Jieping Ye

Computational methods for biomedical data analysis and informatics

Amy M. Yorke

Physical therapy education

Jon Zelner

Spatial analysis, social network analysis and dynamic modeling for infectious diseases