The MIDAS affiliate faculty community consists of >360 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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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

Elizabeth Bruch

Computer modeling of interactions between choices and environment

Ceren Budak

Computational social science

Eunshin Byon

Sustainable energy systems and reliability engineering

Michael Cafarella

Management of large data collections

Jessica K. Camp

National and international trends in poverty and inequality

Neil Carter

complex adaptive systems, human-wildlife coexistence

Tim Cernak

Computational design of chemical reactions and synthesis