Affiliated Faculty

520 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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Andrea Thomer

collaborative use of computational systems for scholarly research, data curation, scientific data practices
Dawn Tilbury

Dawn Tilbury

Modeling and control for smart manufacturing, human-robot teaming
Sabina Tomkins

Sabina Tomkins

Computational social science, Political science, education, sustainability

Kentaro Toyama

including computer simulations of complex systems for policy-making, socio-economic development

Michael Traugott

Mass media and their impact on American politics
Ivy F. Tso

Ivy F. Tso

Psychiatric disorders, brain network, computational and predictive models
Suleyman Uludag

Suleyman Uludag

Security, and optimization Smart Grid data, privacy

Monica Valluri

Dynamical modeling and inference from stellar kinematics

Mark P Van Oyen

Machine learning and optimization systems models for healthcare
Matthew VanEseltine

Matthew VanEseltine

Digging into data on science and academic careers

Ram Vasudevan

Optimization and Machine Learning to Improve Robotic Systems
Shravan Veerapaneni

Shravan Veerapaneni

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

Aditi Verma

Community-engaged design, Design research, complex systems, design tools
Venkat Viswanathan

Venkat Viswanathan

Scientific machine learning, differentiable physics