Affiliated Faculty

500 MIDAS affiliate faculty members 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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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

Jaerock Kwon

Artificial Intelligence, autonomous vehicles, machine learning, neural network, robotics

Rahul Ladhania

Machine learning and causal inference in health

Sara Lafia

Data discovery, reuse and curation
Jeffrey C. Lagarias

Jeffrey C. Lagarias

Number theory, dynamical systems, optimization
Carl Lagoze

Carl Lagoze

Interoperability in information systems