540 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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Alex Gorodetsky
Bayesian Inference, Decision making under uncertainty, Tensor Networks, Uncertianty Quantification
Ben Green
The social and political impacts of government algorithms.
Andrew Grogan-Kaylor
Parenting behavior on child outcomes
Andrew Gronewold
Quantifying and communicating uncertainties arising within long-term hydrological monitoring networks and data
Carina Gronlund
vulnerability to climate and air pollution health impacts
Yuanfang Guan
High-accuracy algorithms for predicting gene functions and networks
Emanuel Gull
Computational condensed matter physics
Anhong Guo
Human-AI Systems for Accessibility
Lubomir Hadjiyski
AI, Decision support, Machine earning, Medical image analysis
J. Alex Halderman
Security and privacy, tech policy
Jesse Hamilton
Development of novel quantitative cardiac MRI techniques
Robert Hampshire
Analytics, Data, Equity, Transportation, public
David Hanauer
clinical informatics
Derek Harmon
Consequences of language in financial markets
Marcelline Harris
The use of electronic clinical data for practice and research