500 MIDAS affiliate faculty members come from over 60 U-M departments, and include instructional (tenure / tenure track / lecturer), clinical and research track faculty.
Affiliated Faculty
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Dan Rabosky
Computational macroevolution, biodiversity dynamics, machine learning, statistical theory
Majdi Radaideh
Autonomous Control, Nuclear Reactor Design, Physics-informed Machine Learning, Uncertainty quantification, optimization
Elizabeth F. S. Roberts
Developing methods for understanding domestic water infrastructures as “socio-techno-bio systems”
