The MIDAS affiliate faculty community consists of over 420 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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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

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

Number theory, dynamical systems, optimization

Carl Lagoze

Interoperability in information systems

Ronald Gary Larson

Computer simulations and statistical analysis of transport processes

Ho-Joon Lee

Algorithms and models for multi-dimensional large-scale data