Affiliated Faculty

520 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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Bogdan I. Epureanu

complex systems, data-driven, nonlinear dynamics

Barbara Jane Ericson

Data mining to improve computing education

Birhanu Eshete

Cybercrime analysis, adversarial machine learning, cyber threat intelligence

August (Gus) Evrard

Computational cosmology
Xudong (Sherman) Fan

Xudong (Sherman) Fan

Breath analysis, cancer, respiratory diseases, tissue imaging

Christopher Fariss

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

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