Around 270 U-M faculty members from over 60 departments are affiliated with MIDAS.

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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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Steven J. Katz

Cancer treatment communication, and quality of care, decision-making

Matthew Kay

Communicating uncertainty, and personal informatics, usable statistics

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

Antonios M. Koumpias

Behavioral tax compliance and health economics

Danai Koutra

Mining and making sense of interconnected or graph data

Anna Kratz

Characteristics and mechanisms of chronic clinical conditions

Aradhna Krishna

Sensory marketing

Jeffrey C. Lagarias

Number theory, dynamical systems, optimization

Carl Lagoze

Interoperability in information systems

Walter S. Lasecki

Continuous real-time crowdsourcing and the ‘crowd agent’ model

Ho-Joon Lee

Algorithms and models for multi-dimensional large-scale data