Affiliated Faculty

500 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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Mousumi Banerjee

Machine learning and statistical analysis of healthcare delivery and outcomes
Syagnik Banerjee

Syagnik Banerjee

Signal processing and impact of mobile devices on consumer behavior

Nikola Banovic

Behavior-aware User Interfaces, Computational Interaction, Computational models of human behavior
Mihaela (Miki) Banu

Mihaela (Miki) Banu

data-driven models, manufacturing, material science
Shan Bao

Shan Bao

Understanding and modeling driver behavior
Satinder Singh Baveja

Satinder Singh Baveja

Artificial Intelligence, Deep Learning, Reinforcement Learning
Erhan Bayraktar

Erhan Bayraktar

Mathematical finance and stochatic analysis
Jenna Bednar

Jenna Bednar

federalism, human social flourishing, institutional dynamics, robust governance design

Adriene Beltz

The brain and gendered behavior through network analysis
Saif Benjaafar

Saif Benjaafar

Transportation, machine learning, mobility, online marketplaces and platforms, operations research, sharing economy, supply chains

Albert S. Berahas

Algorithms for Large Scale Nonlinear Optimization
Kathleen M Bergen

Kathleen M Bergen

Field and geospatial methods for ecological systems, biodiversity and health

Sol Bermann

Big Data, Security, and law., data science, privacy, public policy

Halil Bisgin

Bioinformatics, Social Network Analysis, data mining
Anthony Bloch

Anthony Bloch

Control, Hamiltonian and Lagrangian Systems, gradient flows

Michael Boehnke

Statistical analysis of human genetic data