Around 280 U-M faculty members from over 60 departments are affiliated with MIDAS.

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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Margaret Hedstrom

Scalable digital curation and archiving

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

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

Muzammil M. Hussain

Global communication and comparative politics

Edward Ionides

Time series analysis for ecology, epidemiology, health economics and biology

Abigail Jacobs

Computational social science, empirical design, governance, observational data, social networks, statistical inference

H. V. Jagadish

Database systems, query models and analytics processes for reliable insight

Judy Jin

Data fusion for improving system operation and quality

Timothy D. Johnson

Bayesian methoda and statistical modeling of biomedical data

Vicki Johnson-Lawrence

Epidemiologic methods in chronic disease risk