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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Romesh Saigal

Operational research in Finance, Renewable Energy and Healthcare, Transportation

Perry Samson

Relationships between student performance and behaviors

Rajiv Saran

Building Surveillance and Information Systems for Kidney Disease with a view to Prevention and Quality Improvement

Maureen Sartor

Bioinformatics, biomarkers, cancer, classification, epigenomics, integrative omics, prediction, regulatory genomics

Ramon Satyendra

Music and mathematics, and compositional theory

Matthew Schipper

Biomarkers for individualized treatment and early phase oncology

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

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