Affiliated Faculty

MIDAS works to foster interdisciplinary research collaboration across campus with our community of 550 affiliate faculty members, who 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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Lisa Levinson

Natural language processing, linguistics, psycholinguistics, semantics

Cheng Li

Developing advanced numerical models and computational tools for terrestrial and extraterrestrial climate systems

Gen Li

Data Integration, Dimension Reduction, Microbiome Research, Parsimonious Models, graphical models, predictive modeling
Jun Li_

Jun Li

Empirical operations management and business analytics
Jun Li

Jun Li

Genetic and genomic analyses of complex phenotypes
Max Li

Max Li

Design, Management, and Optimization of Air Transportation Systems
Weiqi Li

Weiqi Li

New method to solve the traveling salesman problem
Yi Li

Yi Li

Statistical methods for kidney epidemiology

Donald S. Likosky

Cardiovascular epidemiology and innovation in cardiac surgical care
Brian Lin

Brian Lin

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

Edward Lin

Astronomical Survey, Astronomical data reduction, Properties of Solar system minor planets

Mark Lindquist

AI and data for architectural design and high-performance landscapes
Suljo Linic

Suljo Linic

predictive theories of surface chemistry
Roderick Little

Roderick Little

The analysis of data sets with missing values
Henry Liu

Henry Liu

Traffic network monitoring, modeling and control