Affiliated Faculty

MIDAS works to foster interdisciplinary research collaboration across campus with our community of 550 affiliate faculty members, who 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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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

Benjamin Goldstein

Sustainability analytics for cities

Cathy Goldstein

Wearable sleep tracking

Jason Goldstick

Spatial and temporal analysis of injury

Tamas Gombosi

Heliosphere, Planets, Space weather, Sun, comets, space plasma physics
Rich Gonzalez

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

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

Timothy C. Guetterman

mixed methods research for healthcare and education