Affiliated Faculty

The MIDAS affiliate faculty community consists of over 450 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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Nikola Banovic

Behavior-aware User Interfaces, Computational Interaction, Computational models of human behavior

Mihaela (Miki) Banu

data-driven models, manufacturing, material science

Shan Bao

Understanding and modeling driver behavior

Satinder Singh Baveja

Artificial Intelligence, Deep Learning, Reinforcement Learning

Erhan Bayraktar

Mathematical finance and stochatic analysis

Adriene Beltz

The brain and gendered behavior through network analysis

Albert S. Berahas

Algorithms for Large Scale Nonlinear Optimization

Kathleen M Bergen

Field and geospatial methods for ecological systems, biodiversity and health

Halil Bisgin

Bioinformatics, Social Network Analysis, data mining

Michael Boehnke

Statistical analysis of human genetic data

Christopher Brooks

Visualizing the interaction between learners and learning technology

Andrew Brouwer

Mathematical and statistical modeling for public health

Elizabeth Bruch

Computer modeling of interactions between choices and environment

Sophia Brueckner

Brueckner leverages her background in algorithms and engineering to speculate and prototype preferred technological futures.