Affiliated Faculty

500 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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Dan Rabosky

Dan Rabosky

Computational macroevolution, biodiversity dynamics, machine learning, statistical theory
Photograph of Alison Davis Rabosky

Alison Davis Rabosky

Phenotypic innovation, the evolution of complex traits
Majdi Radaideh

Majdi Radaideh

Autonomous Control, Nuclear Reactor Design, Physics-informed Machine Learning, Uncertainty quantification, optimization

Jenny Radesky

Research on young children, mobile/interactive media, parents

Trivellore E. Raghunathan

Missing data in sample surveys and in epidemiological studies
Indika Rajapakse

Indika Rajapakse

The dynamics of human genome organization
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
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”
Daniel Romero

Daniel Romero

Empirical and theoretical analysis of social and information networks
Stacy Rosenbaum

Stacy Rosenbaum

Evolutionary causes and consequences of social behavior