Affiliated Faculty

500 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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Anna G. Stefanopoulou

Batteries, Fuel-Cells, Model Multivariable Predictive Experimental Identification Engines
Joshua Stein

Joshua Stein

Enhancing Eye Care Using Big Data
Ryan Stidham

Ryan Stidham

Automated image analysis; medical image segmentation; clinical decision support systems; AI/ML clinical trials; Crohn's disease; ulcerative colitis; IBD
Stilian A.

Stilian A. Stoev

Applied probability and statistics for stochastic processes

Quentin Stout

Scalable parallel algorithms for large scientific problems
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

Yuekai Sun

Statistical methodology for high-dimensional problems
Wenhao Sun

Wenhao Sun

Materials Discovery and Design, Materials Informatics

Wenbo Sun

Uncertainty quantification, decision-making

Jing Sun

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

Veera Sundararaghavan

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

Rie Suzuki

Social factors of health behaviors and health outcomes