The MIDAS affiliate faculty community consists of >400 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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Venkat Raman

Simulation of large scale combustion systems

Arvind Rao

Multi-modal decision algorithms that integrate clinical measurements

Jeffrey Regier

Bayesian models and deep learning for scientific applications

Rudy J. Richardson

Molecular modeling, drug discovery, toxicology

Daniel Romero

Empirical and theoretical analysis of social and information networks

Elliott Rouse

Wearable robotics, actuator design, biomechanics, exoskeletons, robotic prostheses, user preference and psychophysics

Michael Rubyan

Responsive Platform Design and Data Analytics around Health System Communication

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

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