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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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

Charu Chandra

Complex systems in the manufacturing and service sectors

Sriram Chandrasekaran

Computer models of protein networks

Xiuli Chao

Data-driven operations optimization

Jowei Chen

Political geography and US political institutions

Yang Chen

Statistical inference and applied statistics in biology and astronomy