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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Cong Shi

Data-driven optimization for operations management

Xu Shi

EHR data, causal inference

Albert Shih

Custom devices to improve the quality of care

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

Stephen Smith

Using large data to examine rates and modes of evolution

Peter X. K. Song

Theory and methodology for environmental health sciences and nutritional sciences

Zheng Song

Edge Computing, Federated Learning, Web Services

Reza Soroushmehr

Algorithm design and implementation for healthcare

S. Sriram

Brand and product portfolio management