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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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

Margaret C. Levenstein

Computational social science

Elizaveta Levina

Statistical inference on realistic models for network

Lisa Levinson

Natural language processing, linguistics, psycholinguistics, semantics

Jun Li

Empirical operations management and business analytics

Jun Li

Genetic and genomic analyses of complex phenotypes

Weiqi Li

New method to solve the traveling salesman problem

Yi Li

Statistical methods for kidney epidemiology

Roderick Little

The analysis of data sets with missing values

Mingyan Liu

Stochastic control, game theory and mechanism design, optimization

Zhongming Liu

computational and cognitive neuroscience, deep neural networks