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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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

Catherine Hausman

Energy and environmental economics

Xuming He

Mathematical modeling and uncertainty quantification

Yongqun (Oliver) He

Ontology, literature mining and gene networks
Margaret Hedstrom

Margaret Hedstrom

Scalable digital curation and archiving

Libby Hemphill

digital data, justice, social media

Nicholas Henderson

Bayesian inference and machine learning, precision medicine

Áine Heneghan

Music analysis and the history of music theory