The MIDAS affiliate faculty community consists of >400 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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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

Walter S. Lasecki

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

Ho-Joon Lee

Algorithms and models for multi-dimensional large-scale data

Jon Lee

Nonlinear discrete optimization

Honglak Lee

Machine learning and its applications to artificial intelligence

Sunghee Lee

Cross-cultural research, Minority health, Survey methodology

Peter Lenk

Bayesian methods and data mining

Felipe da Veiga Lerprevost

Computational proteomics data analysis and development