Distribution of MIDAS affiliate faculty by primary college, school, or unit.
Affiliated Faculty
Yearly faculty collaborations on grant proposals since 2018, facilitated by MIDAS. Image credit: Bernardo Modenesi (MIDAS Data Science Fellow), Beth Uberseder (MIDAS Research Manager), and Ken Reid (MIDAS Data Scientist).
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.
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Peter Reich
ecosystems and people across a range of scales, global change research on plants, soils
Ken Resnicow
Behavior Change, NLP, Precision Health, complex systems
Shai Revzen
biomechanics, investigating relationships between animals and environments
Rudy J. Richardson
Molecular modeling, drug discovery, toxicology
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
Empirical and theoretical analysis of social and information networks
Stacy Rosenbaum
Evolutionary causes and consequences of social behavior
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
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