Around 260 U-M faculty members from over 60 departments are affiliated with the Michigan Institute for Data Science, providing them access to collaboration opportunities, support for research funding submissions, and updates on data science news and events at U-M and beyond.

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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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

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

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

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