The MIDAS affiliate faculty community consists of 340 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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Jacob Fisher

Computational social science, network analysis
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

Robert J. Franzese Jr.

Spatial-econometric methods for interdependent processes

Johann Gagnon-Bartsch

High-throughput and high-dimensional data analysis

Andrzej T Galecki

Computational methods for correlated and over-dispersed data

Anne Ruggles Gere

Deeper conceptual learning for students and enhanced pedagogy for faculty

Brenda Gillespie

Censored data and clinical trials

Christopher E. Gillies

Predictive algorithms for critical care medicine

Pamela Giustinelli

The interplay of brain, and behavior during human development, biology

Sharon Glotzer

Computer simulation of nanosystems' self assembly

Oleg Gnedin

Formation and evolution of galaxies and star clusters