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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Mehrdad Simkani

Mehrdad Simkani

Rational approximation in the complex domain

Michael Sjoding

healthcare, machine learning
Katie Skinner

Katie Skinner

Robot vision and perception, field robotics

Stephen Smith

Using large data to examine rates and modes of evolution
Peter Song

Peter Song

Data Integration, distributed inference, machine learning

Zheng Song

Edge Computing, Federated Learning, Web Services
S. Sriram

S. Sriram

Brand and product portfolio management
Siddhartha Srivastava

Siddhartha Srivastava

Scientific Learning for Applied Mechanics

Kevin Stange

Education policy, Higher education, Labor economics

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