Affiliated Faculty

MIDAS works to foster interdisciplinary research collaboration across campus with our community of 550 affiliate faculty members, who 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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Camille Avestruz

Evolution of galaxy clusters, machine learning in cosmology

Yuehao Bai

Design and Analysis of Experiments, Econometrics, Partial Identification, statistical inference

Veera Baladandayuthapani

High-dimensional modeling and Bayesian inference
Laura Balzano

Laura Balzano

Statistical signal processing and optimization with large data.
Moulinath Banerjee

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

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