The MIDAS affiliate faculty community consists of >400 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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Daniel P. Keating

Longitudinal analyses across multiple databases, population modeling.

Evan Keller

Single cell and spatiotemporal analyses of healthy and diseased tissues

Branko Kerkez

Smart and adaptive water systems

Marouane Kessentini

Search-based software engineering and software refactoring

James Kibbie

Analysis of Bach's organ music and performance

John Kieffer

Simulation-based predictive design for new materials

Jinseok Kim

Text disambiguation in scholarly data

Aaron A. King

Statistical inference for mechanistic models of infectious disease

Ken Kollman

Political science, data infrastructure, elections, organizations

Antonios M. Koumpias

Behavioral tax compliance and health economics

Danai Koutra

Mining and making sense of interconnected or graph data

Amanda Kowalski

targeting healthcare interventions

Anna Kratz

Characteristics and mechanisms of chronic clinical conditions

Aradhna Krishna

Sensory marketing