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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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

Brendan Kochunas

Computational Nuclear Reactor Physics and Digital Twins

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

Kenichi Kuroda

Polymer, antibacterial, antibiotic, antimicrobial, bacteria, drug resistance, peptide

Arpan Kusari

LiDAR, Reinforcement Learning, autonomous vehicles, realistic simulation, uncertainty estimation