Affiliated Faculty

MIDAS works to foster interdisciplinary research collaboration across campus with our community of 550 affiliate faculty members, who 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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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

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
Allyson Flaster

Allyson Flaster

postsecondary access and student success

Nancy Fleischer

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

Allen Flynn

I study medication-related clinical task automation.
Danny Forger

Danny Forger

Computer simulation and mathematical modeling of biological clocks

David Fouhey

Computer vision and machine learning
Edgar Franco-Vivanco

Edgar Franco-Vivanco

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