Affiliated Faculty

The MIDAS affiliate faculty community consists of over 450 U-M faculty members from over 60 departments.

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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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Jeremy M G Taylor

Statistical methodology for cancer research

Stephan F. Taylor

Neuroimaging and brain stimulation, diagnosis and psychiatric treatments

Stephanie Teasley

Sociotechnical systems for collaboration and successful learning outcomes

Misha Teplitskiy

computational methods, experimental methods, science of science

Jonathan Terhorst

computational population genetics
Ambuj Tewari

Ambuj Tewari

Statistical methods for sequential decision making in personalized health

Andrea Thomer

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

Dawn Tilbury

Modeling and control for smart manufacturing, human-robot teaming

Sabina Tomkins

Computational social science, Political science, education, sustainability

Kentaro Toyama

including computer simulations of complex systems for policy-making, socio-economic development

Michael Traugott

Mass media and their impact on American politics

Ivy F. Tso

Psychiatric disorders, brain network, computational and predictive models

Suleyman Uludag

Security, and optimization Smart Grid data, privacy

Thomas Valley

Monica Valluri

Mark P Van Oyen

Machine learning and optimization systems models for healthcare