Affiliated Faculty

520 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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Jenna Wiens

Machine learning and data mining for healthcare data
David Williams

David Williams

Big Data and AI supported behavioral health care

Terrence Wong

clonal hematopoiesis, leukemia evolution
Kevin Wood

Kevin Wood

antibiotic resistance, evolution, microbes, spatiotemporal dynamics, stochastic processes
Zhenke Wu

Zhenke Wu

Statistical methods for precision medicine
Picture of Besa Xhabija

Besa Xhabija

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

Xiaoling Xiang

and implementation of evidence-based interventions, comorbidity, epidemiology of mental disorders in late life, quality of home and community-based services
Gongjun Xu

Gongjun Xu

cognitive diagnosis modeling, high-dimensional statistics, latent variable models, psychometrics, semiparametric statistics

Ming Xu

Computational and data-enabled methodology for sustainability

Ying Xu

STEM learning, conversational AI, educational media, language learning, large language models
Bing Ye

Bing Ye

Artificial Intelligence, Drosophila, behavior, cell biology, computational science, developmental biology, neuroscience
Jieping Ye

Jieping Ye

Computational methods for biomedical data analysis and informatics