The MIDAS affiliate faculty community consists of over 420 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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Wenhao Sun

Materials Discovery and Design, Materials Informatics

Jing Sun

adaptation, classification, estimation, modeling, predictive control, real-time optimization

Veera Sundararaghavan

Integrated Computational Materials Engineering (ICME), Materials Informatics and Quantum Computing.

Z. Tuba Suzer-Gurtekin

Rie Suzuki

Social factors of health behaviors and health outcomes

Stefan Szymanski

The economic and social analysis of sport

Kean Ming Tan

Statistical Machine Learning, biomedical data

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

Statistical methods for sequential decision making in personalized health

Andrea Thomer

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

Kentaro Toyama

Michael Traugott

Mass media and their impact on American politics