Affiliated Faculty

540 MIDAS affiliate faculty members come from over 60 U-M departments, and include instructional (tenure / tenure track / lecturer), clinical and research track faculty.


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

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

Yuanfang Guan

High-accuracy algorithms for predicting gene functions and networks

Emanuel Gull

Computational condensed matter physics
Anhong Guo

Anhong Guo

Human-AI Systems for Accessibility
Lubomir Hadjiyski

Lubomir Hadjiyski

AI, Decision support, Machine earning, Medical image analysis

J. Alex Halderman

Security and privacy, tech policy
Jesse Hamilton

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

Marcelline Harris

The use of electronic clinical data for practice and research