The MIDAS affiliate faculty community consists of over 420 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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Xudong (Sherman) Fan

Breath analysis, cancer, respiratory diseases, tissue imaging

Christopher Fariss

Human rights, International relations, Measurement, Political behavior, Research design, Violence

Salar Fattahi

Scalable computational methods for data-driven problems

Fred Feinberg

Statistical models of complex decision patterns

Fred Feng

Understanding the interactions between motorists and other road users

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