The MIDAS affiliate faculty community consists of >360 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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Yuanfang Guan

High-accuracy algorithms for predicting gene functions and networks

Emanuel Gull

Computational condensed matter physics

Robert Hampshire

Analytics, Data, Equity, Transportation, public

David Hanauer

clinical informatics

Samuel K Handelman

Multi-omics for precision health and population-level intervention outcome

Edward G. Happ

Information and communications technology

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

Libby Hemphill

digital data, justice, social media

Áine Heneghan

Music analysis and the history of music theory

Alfred Hero

Theory and algorithms for data collection, analysis and visualization