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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Weiqi Li

New method to solve the traveling salesman problem

Yi Li

Statistical methods for kidney epidemiology

Brian Lin

and estimating driver distraction and workload, evaluating driver assistance systems, mining naturalistic driving data, modeling driver performance and behavior

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

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