The MIDAS affiliate faculty community consists of 340 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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Atul Prakash

Design of operating systems and database mechanisms for sensitive data

Nicholson Price

How law shapes innovation in the life sciences

Kevin Quinn

Empirical legal studies and statistical methodology

Jenny Radesky

Research on young children, mobile/interactive media, parents

Trivellore E. Raghunathan

Missing data in sample surveys and in epidemiological studies

Indika Rajapakse

The dynamics of human genome organization

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

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