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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Jason Corso

High-level computer vision for human language, robotics and data science

Kai S. Cortina

From children and adolescents to adulthood, and the role of education

William Currie

Physical, chemical and ecological processes in the ecosystems

Mark S. Daskin

Supply chain network design in general and facility location models

Gerald Davis

Corporate governance and the effects of finance on society

Matthew A. Davis

Large datasets in health services policy

Pamela Davis-Kean

The interplay of brain, and behavior during human development, biology

Brian Denton

Data-driven sequential decision making and optimization under uncertainty

Harm Derksen

Tensor analysis and machine learning in health care

Paramveer Dhillon

Computational social science, Natural language processing, Statistical Machine Learning, and Field/Digital Experiments

Ivo D. Dinov

Mathematical modeling, statistical analysis and data visualization

Kevin Dombkowski

Population-based intervention, children's health, chronic conditions

Karthik Duraisamy

Data-driven modeling of computational physics problems

Marisa Eisenberg

Mathematical modeling of disease mechanisms, and intervention design, forecasting

Issam El Naqa

Oncology bioinformatics, and treatment outcome modeling, multimodality image analysis

Michael Elliott

design and analysis of sample surveys and statistical inference