Affiliated Faculty

MIDAS works to foster interdisciplinary research collaboration across campus with our community of 550 affiliate faculty members, who come from over 60 U-M departments, and include instructional (tenure / tenure track / lecturer), clinical and research track faculty.


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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Brendan Kochunas

Computational Nuclear Reactor Physics and Digital Twins

Ken Kollman

Political science, data infrastructure, elections, organizations

Barbara Koremenos

Scientific analysis of international law
Photograph of Nicholas Kotov

Nicholas Kotov

Chiral nanostructures, and graph theoretical representations, biomimetic nanocomposites
Antonios Koumpias

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

Anna Kratz

Characteristics and mechanisms of chronic clinical conditions

Aradhna Krishna

Sensory marketing

Andrew Krumm

Collaborative data-intensive improvement research
Yanna Krupnikov

Yanna Krupnikov

Political behavior, political communication

P.C. Ku

Optoelectronic devices

Kenichi Kuroda

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

Arpan Kusari

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

Sindhu Kutty

Crowdsourcing, Prediction Markets, Undergraduate research/education, machine learning

David Kwabi

carbon capture, chemometrics, electrochemistry, energy storage, flow batteries, organic materials, spectroscopy