Affiliated Faculty

540 MIDAS affiliate faculty members come from over 60 U-M departments, and include instructional (tenure / tenure track / lecturer), clinical and research track faculty.


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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Nate Sanders

Nate Sanders

Biodiversity, ants, data mining, ecology, museum specimens
Rajiv Saran

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

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

Sarita Schoenebeck

Human-Computer Interaction, issues in digital society, social computing, social media
Eric Schwartz

Eric Schwartz

Customer behavior and interactive marketing
Thomas A. 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

Ananda Sen

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

Srijan Sen

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