Affiliated Faculty

MIDAS works to foster interdisciplinary research collaboration across campus with our community of 550 affiliate faculty members, who 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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Joseph Ryan

Joseph Ryan

Big data tools for child welfare and juvenile justice

Greg Rybarczyk

Causal mechanisms that influence travel patterns and urban dynamics

Romesh Saigal

Operational research in Finance, Renewable Energy and Healthcare, Transportation

Perry Samson

Relationships between student performance and behaviors
Nate Sanders

Nate Sanders

Biodiversity, ants, data mining, ecology, museum specimens
Christian Sandvig

Christian Sandvig

accountability, and justice in artificial intelligence, ethics
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

P.T. Sathe

Industrial operations and engineering
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

Grant Schoenebeck

Information Mechanism Design and Machine Learning

Sarita Schoenebeck

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

Eric Schwartz

Customer behavior and interactive marketing