The MIDAS affiliate faculty community consists of over 420 U-M faculty members from over 60 departments.

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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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Xuefeng (Chris) Liu

Statistical models for critical issues

Zhixin (Jason) Liu

capacity allocation, pricing, scheduling

Jie Liu

Machine learning and computational genomics

Henry Liu

Traffic network monitoring, modeling and control

Hernán López-Fernández

Macroevolution and patterns of diversity in freshwater fishes

Vahid Lotfi

Improving efficiency and utilization of outpatient clinics

Wei Lu

integrating human knowledge into machine learning

Jin Lu

Bioinformatics, Health-informatics, PAC learning, machine learning, optimization

Kathryn Luker

Gary Luker

Quantitative imaging, cancer biology

Jerome P. Lynch

Large-scale sensor networks for monitoring and control of civil infrastructure

Di Ma

Security, and applied cryptography, privacy

Puneet Manchanda

Using econometrics and machine learning methods to infer causality

Ward B. Manchester

Robert Manduca

Urban economic development, income inequality, regional

Murali Mani

Big data management, analytics and visualization