Around 260 U-M faculty members from over 60 departments are affiliated with the Michigan Institute for Data Science, providing them access to collaboration opportunities, support for research funding submissions, and updates on data science news and events at U-M and beyond.

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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Stephanie Teasley

Sociotechnical systems for collaboration and successful learning outcomes

Ambuj Tewari

Statistical methods for sequential decision making in personalized health

Michael Traugott

Mass media and their impact on American politics

Suleyman Uludag

Security, and optimization Smart Grid data, privacy

Mark P Van Oyen

Machine learning and optimization systems models for healthcare

Shravan Veerapaneni

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

Nils G. Walter

Intracellular single molecule, high-resolution localization

Naisyin Wang

Models and methodologies for complex biomedical data

Kevin Ward

Simultaneous monitoring and processing of a large number of physiological parameters

Lu Wei

Analytical properties of interacting particle systems

Brady West

Measurement error in auxiliary variables and survey data

Jenna Wiens

Machine learning and data mining for healthcare data

Zhenke Wu

Statistical methods for precision medicine

Gongjun Xu

latent variable models, psychometrics, statistics

Hongwei Xu

The role of geography in shaping population health