Distribution of MIDAS affiliate faculty by primary college, school, or unit.
Affiliated Faculty
Yearly faculty collaborations on grant proposals since 2018, facilitated by MIDAS. Image credit: Bernardo Modenesi (MIDAS Data Science Fellow), Beth Uberseder (MIDAS Research Manager), and Ken Reid (MIDAS Data Scientist).
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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.
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Sara Lafia
Data discovery, reuse and curation
Jeffrey C. Lagarias
Number theory, dynamical systems, optimization
Zach Landis-Lewis
Precision feedback for learning health systems
Ronald Gary Larson
Computer simulations and statistical analysis of transport processes
Mariel Lavieri
personalized medicine, resource allocation, sequential decision making
Thuy Le
cancer modeling, machine learning, mathematical model, tobacco use behaviors
Honglak Lee
Machine learning and its applications to artificial intelligence
Jon Lee
Nonlinear discrete optimization
Sunghee Lee
Cross-cultural research, Minority health, Survey methodology
Peter Lenk
Bayesian methods and data mining
Corey Lester
Improving medication use with artificial intelligence
Margaret C. Levenstein
Computational social science
Elizaveta Levina
Statistical inference on realistic models for network
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