The MIDAS affiliate faculty community consists of 340 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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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

Andrew Grogan-Kaylor

Parenting behavior on child outcomes

Yuanfang Guan

High-accuracy algorithms for predicting gene functions and networks

Emanuel Gull

Computational condensed matter physics

Robert Hampshire

Analytics, Data, Equity, Transportation, public

David Hanauer

clinical informatics

Samuel K Handelman

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

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

Xuming He

Mathematical modeling and uncertainty quantification

Yongqun (Oliver) He

Ontology, literature mining and gene networks