The MIDAS affiliate faculty community consists of >360 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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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

Michael Traugott

Mass media and their impact on American politics

Suleyman Uludag

Security, and optimization Smart Grid data, privacy

Mark P Van Oyen

Machine learning and optimization systems models for healthcare

Anthony Vanky

Urban dynamics, citizen participation, mobility and transportation, urban sensing