Affiliated Faculty

500 MIDAS affiliate faculty members 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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Negar Farzaneh

Clinical decision support systems

Salar Fattahi

Scalable computational methods for data-driven problems
Fred Feinberg

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

Thomas Finholt

Social ties, trust and collaboration
Benjamin Fish

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

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