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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Moulinath Banerjee

Asymptotics, empirical process theory, graphical networks, threshold and boundary estimation

Mousumi Banerjee

Machine learning and statistical analysis of healthcare delivery and outcomes

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

data-driven models, manufacturing, material science

Shan Bao

Understanding and modeling driver behavior

Satinder Singh Baveja

Artificial Intelligence, Deep Learning, Reinforcement Learning

Erhan Bayraktar

Mathematical finance and stochatic analysis

Adriene Beltz

The brain and gendered behavior through network analysis

Albert S. Berahas

Algorithms for Large Scale Nonlinear Optimization

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

Michael Boehnke

Statistical analysis of human genetic data
Picture of David Brang

David Brang

Multisensory, electrophysiology, machine learning, neuro-oncology, neuroscience