Affiliated Faculty

520 MIDAS affiliate faculty members come from over 60 U-M departments, and include instructional (tenure / tenure track / lecturer), clinical and research track faculty.

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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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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

Alfred Hero

Theory and algorithms for data collection, analysis and visualization

Todd I Herrenkohl

Joseph Himle

Monitoring and treatment of trichotillomania

James R. Hines Jr.

Donation behavior and wealth transfer
Jana Hirschtick

Jana Hirschtick

social epidemiology

Todd Hollon

Jingwen Hu

Jingwen Hu

Reducing the incidence of injuries and fatalities in traffic accidents
Wei Hu

Wei Hu

Deep Learning, Representation Learning, machine learning, optimization, theory

Zhen Hu

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

Xun Huan

Uncertainty quantification, and numerical optimization, data-driven modeling

Xianglei Huang

climate diagnostics, data modeling, optimization, remote sensing, time-series analysis