The MIDAS affiliate faculty community consists of over 450 U-M faculty members from over 60 departments.
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”
