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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Birhanu Eshete

Cybercrime analysis, adversarial machine learning, cyber threat intelligence

August (Gus) Evrard

Computational cosmology

Xudong (Sherman) Fan

Breath analysis, cancer, respiratory diseases, tissue imaging

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

David Fouhey

Computer vision and machine learning

Robert J. Franzese Jr.

Spatial-econometric methods for interdependent processes

Johann Gagnon-Bartsch

High-throughput and high-dimensional data analysis

Andrzej T Galecki

Computational methods for correlated and over-dispersed data

Anne Ruggles Gere

Deeper conceptual learning for students and enhanced pedagogy for faculty

Anna Gilbert

Mathematical analysis, network and algorithms, probability

Brenda Gillespie

Censored data and clinical trials