The MIDAS affiliate faculty community consists of over 420 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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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

Xianglei Huang

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

Muzammil M. Hussain

Global communication and comparative politics

Edward Ionides

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

Deanna Isaman

chronic disease, data synthesis, economic model

Christiane Jablonowski

Physics-guided machine learning, climate modeling, emulation

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

Matthew Johnson-Roberson

Visualization and interpretation of massive data to monitor the Earth

David Jurgens

computational social science and natural language processing