Affiliated Faculty

500 MIDAS affiliate faculty members come from over 60 U-M departments, and include instructional (tenure / tenure track / lecturer), clinical and research track faculty.

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

Weiqi Li

New method to solve the traveling salesman problem
Yi Li

Yi Li

Statistical methods for kidney epidemiology
Brian Lin

Brian Lin

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

Roderick Little

The analysis of data sets with missing values
Mingyan Liu

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

Henry Liu

Traffic network monitoring, modeling and control
Sabine Loos

Sabine Loos

Data and user-driven approaches on disasters and equity
Hernán López-Fernández

Hernán López-Fernández

Macroevolution and patterns of diversity in freshwater fishes