Affiliated Faculty

MIDAS works to foster interdisciplinary research collaboration across campus with our community of 550 affiliate faculty members, who 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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Srijita Das

Building sample-efficient machine learning models

Mark S. Daskin

Supply chain network design in general and facility location models
Gerald Davis

Gerald Davis

Corporate governance and the effects of finance on society
Matthew A. Davis

Matthew A. Davis

Large datasets in health services policy

Pamela Davis-Kean

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

Melissa DeJonckheere

NLP & AI in qualitative and mixed methods research in the health and social sciences

Matias del Campo

Research on Architecture Design and Artificial Intelligence
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

Hao-Wen Dong

Generative AI for Music and Audio