Affiliated Faculty

540 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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Martin J. Strauss

Martin J. Strauss

Randomized approximation algorithms for massive data sets

Wencong Su

Efficient management of a large number of devices through distributed intelligence
Vijay Subramanian

Vijay Subramanian

Stochastic modeling, decision and control theory and applications to networks

Jing Sun

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

Wenbo Sun

Uncertainty quantification, decision-making
Wenhao Sun

Wenhao Sun

Materials Discovery and Design, Materials Informatics

Yuekai Sun

Statistical methodology for high-dimensional problems

Veera Sundararaghavan

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

Rie Suzuki

Social factors of health behaviors and health outcomes
Eric Swanson

Eric Swanson

AI, Language, causation, context, ethics, ideology, values

Stefan Szymanski

The economic and social analysis of sport
Nishil Talati

Nishil Talati

Hardware-software co-design for efficient and secure data analytics

Kean Ming Tan

Statistical Machine Learning, biomedical data
Jeremy M G Taylor

Jeremy M G Taylor

Statistical methodology for cancer research