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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Matthew A. Davis

Large datasets in health services policy

Pamela Davis-Kean

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

Matthew J Delano

Optimizing innate immune function during trauma and sepsis

Walter Dempsey

Mobile Health, Network Science, Statistical Methods

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

Nicholas Douville

Acute Respiratory Distress Sydnrome (ARDS), Bioinformatics, Clinical Outcomes Research, Critical Care Medicine, Perioperative Genomics, Transplant Anesthesia, precision medicine

Karthik Duraisamy

Data-driven modeling of computational physics problems

Ron Eglash

Computation for generative justice

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