The MIDAS affiliate faculty community consists of >360 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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Yulia Sevryugina

COVID-19 literature, Information dissemination, Pandemic publishing, Publishing landscape

Prasad R. Shankar

Patient-centered high-value radiology through big data

Matthew Shapiro

Improving the quality of national economic statistics

Taysseer Sharaf

Developing statistical methods using artificial intelligence

Kerby Shedden

Applied statistics, data science and computing with data

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

Xu Shi

EHR data, causal inference

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