Affiliated Faculty

The MIDAS affiliate faculty community consists of over 450 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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Anne Fernandez

Applying precision health approaches to advance the science of addiction treatment

Jeff Fessler

Large-scale inverse problems in image reconstruction

Thomas Finholt

Social ties, trust and collaboration

Benjamin Fish

Foundations of algorithmic fairness, theory of data science
Carol Flannagan

Carol Flannagan

Models and data system of crash risk and avoidance

Nancy Fleischer

Survey methodology, epidemiology, health equity, policy, public health

Danny Forger

Computer simulation and mathematical modeling of biological clocks

David Fouhey

Computer vision and machine learning

Edgar Franco-Vivanco

Analysis of historical data, Latin America, Natural language processing, criminal violence

Robert J. Franzese Jr.

Spatial-econometric methods for interdependent processes

Ayumi Fujisaki-Manome

Arctic Ocean, Great Lakes, Sea/lake ice, hydrodynamics, machine learning, numerical modeling

Johann Gagnon-Bartsch

High-throughput and high-dimensional data analysis

Andrzej T Galecki

Computational methods for correlated and over-dispersed data