The MIDAS affiliate faculty community consists of 340 U-M faculty members from over 60 departments.

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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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Siqian Shen

Optimization and risk analysis of energy, cloud-computing and transportation, healthcare

Jie Shen

Digital diagnosis of material damage based on large-scale data

Shu-Fang Shih

Theory-based health programs for the public

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

Karandeep Singh


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

Reza Soroushmehr

Algorithm design and implementation for healthcare

S. Sriram

Brand and product portfolio management

Anna G. Stefanopoulou

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

Joshua Stein

Enhancing Eye Care Using Big Data