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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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

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

Susan Hautaniemi Leonard

Data Sharing, data linking, historical demography, restricted data disclosure

Felipe da Veiga Lerprevost

Computational proteomics data analysis and development

Margaret C. Levenstein

Computational social science

Elizaveta Levina

Statistical inference on realistic models for network

Lisa Levinson

Natural language processing, linguistics, psycholinguistics, semantics