Affiliated Faculty

The MIDAS affiliate faculty community consists of over 450 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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Yuki Shiraito

Bayesian statistical models and large-scale computational algorithms for political science

Ginger Shultz

Analysis of course placement, skills transfer and scientific reasoning

Yajuan Si

Bayesian, confidentiality protection, missing data, statistics, survey

Kathleen Sienko

Automating and Personalizing Home-Based Balance Training

John Silberholz

clinical trial data

Mehrdad Simkani

Rational approximation in the complex domain
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

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

Enhancing Eye Care Using Big Data