Affiliated Faculty

The MIDAS affiliate faculty community consists of over 450 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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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

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

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

Edward G. Happ

Information and communications technology

Derek Harmon

Consequences of language in financial markets

Marcelline Harris

The use of electronic clinical data for practice and research