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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Matthew VanEseltine

Digging into data on science and academic careers

Shravan Veerapaneni

Fast and scalable algorithms for differential and integral equations on complex moving geometries

Akbar Waljee

Use Data Science to promote high-value care in low resource settings.

Nils G. Walter

Intracellular single molecule, high-resolution localization
Lu Wang

Lu Wang

Natural language processing

Wenche Wang

two-sided markets and antitrust policy.

Wentao Wang

Civil and Environmental Engineering

Xu Wang

AI in Education, Data Science Education, Human-Computer Interaction, learning at scale

Yixin Wang

Large-scale probabilistic machine learning, causal inference, machine learning for science

Naisyin Wang

Models and methodologies for complex biomedical data

Kevin Ward

Simultaneous monitoring and processing of a large number of physiological parameters
Brian Weeks

Brian Weeks

Understanding biotic responses to global change

Lu Wei

Analytical properties of interacting particle systems