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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Patrick Schloss

Beneficial and pathogenic host-microbiome interactions

Thomas Schmidt

Engineering the Gut Microbiome to Improve Human Health

Eric Schwartz

Customer behavior and interactive marketing
Picture of Thomas Schwarz

Thomas A. Schwarz

Experimental particle physics utilizing advanced AI and Machine Learning

Clayton Scott

Quantitative predictions and inferences about large, complex data

Nicole Seiberlich

MRI, Magnetic Resonance Imaging, cardiac MRI, precision medicine, quantitative MRI, radiology workflow

Lawrence Seiford

Quality engineering, productivity analysis and process improvement

Ananda Sen

Competing risks, and inter-rater agreement, recurrent event data

Srijan Sen

Gene-environment interaction and their effect on stress, anxiety and depression

Yulia Sevryugina

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

Matthew Shapiro

Improving the quality of national economic statistics

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