The MIDAS affiliate faculty community consists of over 420 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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Jason Goldstick

Spatial and temporal analysis of injury

Rich Gonzalez

Statistical learning and exploratory tools for biology and behavioral science

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

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

Samuel K Handelman

Multi-omics for precision health and population-level intervention outcome