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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Sharon Glotzer

Computer simulation of nanosystems' self assembly

Oleg Gnedin

Formation and evolution of galaxies and star clusters

Jessica Golbus

cardiology, digital interventions, machine learning

Bryan R. Goldsmith

Computional methods for sustainable chemical and energy production

Jason Goldstick

Spatial and temporal analysis of injury

Rich Gonzalez

Statistical learning and exploratory tools for biology and behavioral science

Amie Gordon

Dyadic and longitudinal approaches to understanding interpersonal relationships

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