Around 260 U-M faculty members from over 60 departments are affiliated with the Michigan Institute for Data Science, providing them access to collaboration opportunities, support for research funding submissions, and updates on data science news and events at U-M and beyond.

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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Brian Denton

Data-driven sequential decision making and optimization under uncertainty

Harm Derksen

Tensor analysis and machine learning in health care

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

August (Gus) Evrard

Computational cosmology

Fred Feinberg

Statistical models of complex decision patterns

Fred Feng

Understanding the interactions between motorists and other road users

Jeff Fessler

Large-scale inverse problems in image reconstruction

Thomas Finholt

Social ties, trust and collaboration
Carol Flannagan

Carol Flannagan

Models and data system of crash risk and avoidance

Danny Forger

Computer simulation and mathematical modeling of biological clocks

Robert J. Franzese Jr.

Spatial-econometric methods for interdependent processes