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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Venkat Raman

Venkat Raman

Simulation of large scale combustion systems
Arvind Rao

Arvind Rao

Multi-modal decision algorithms that integrate clinical measurements

Jeffrey Regier

Bayesian models and deep learning for scientific applications

Peter Reich

ecosystems and people across a range of scales, global change research on plants, soils
Ken Resnicow

Ken Resnicow

Behavior Change, NLP, Precision Health, complex systems
Shai Revzen

Shai Revzen

biomechanics, investigating relationships between animals and environments

Rudy J. Richardson

Molecular modeling, drug discovery, toxicology
Ya'acov Ritov

Ya’acov Ritov

theoretical statistics

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
Tanya Rosenblat

Tanya Rosenblat

experimental economics, social networks and social learning

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

John Barry Ryan

Analysis of campaigns, and news media., social networks