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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Jeffrey Regier

Bayesian models and deep learning for scientific applications
Ken Resnicow

Ken Resnicow

Behavior Change, NLP, Precision Health, complex systems

Rudy J. Richardson

Molecular modeling, drug discovery, toxicology

Elizabeth F. S. Roberts

Developing methods for understanding domestic water infrastructures as “socio-techno-bio systems”

Alexander Rodríguez

AI for Public Health, AI for Science, Time Series, machine learning
Daniel Romero

Daniel Romero

Empirical and theoretical analysis of social and information networks
Stacy Rosenbaum

Stacy Rosenbaum

Evolutionary causes and consequences of social behavior

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

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