Affiliated Faculty

540 MIDAS affiliate faculty members come from over 60 U-M departments, and include instructional (tenure / tenure track / lecturer), clinical and research track faculty.


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 J Delano

Matthew J Delano

Optimizing innate immune function during trauma and sepsis
Walter Dempsey

Walter Dempsey

Mobile Health, Network Science, Statistical Methods
Hui Deng

Hui Deng

Deep learning for nanophotonics applications

Brian Denton

Data-driven sequential decision making and optimization under uncertainty

Paramveer Dhillon

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

Kamran Diba

Computational neuroscience of memory and the role of sleep

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
Anne Draelos

Anne Draelos

Real-time machine learning for adaptive neuroscience applications
Mark Draelos

Mark Draelos

biomedical imaging, data visualization, medical robotics, real-time algorithms
Karthik Duraisamy

Karthik Duraisamy

Data-driven modeling of computational physics problems
Allison Earl

Allison Earl

Social and Quantitative Psychology
Ron Eglash

Ron Eglash

Computation for generative justice
Marisa Eisenberg

Marisa Eisenberg

Mathematical modeling of disease mechanisms, and intervention design, forecasting