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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Catherine Hausman

Energy and environmental economics

Xuming He

Mathematical modeling and uncertainty quantification

Yongqun (Oliver) He

Ontology, literature mining and gene networks

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

Alfred Hero

Theory and algorithms for data collection, analysis and visualization

Joseph Himle

Monitoring and treatment of trichotillomania

James R. Hines Jr.

Donation behavior and wealth transfer

Jana Hirschtick

social epidemiology

Zhen Hu

Additive Manufacturing, Bayesian methods, Big data analytics, Material, Reliability, Uncertainty quantification, machine learning, optimization

Jingwen Hu

Reducing the incidence of injuries and fatalities in traffic accidents

Xun Huan

Uncertainty quantification, and numerical optimization, data-driven modeling