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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J. Trent Alexander

Data rescue, and infrastructure building, record linkage

Amal Alhosban

Semantic web, fault management and wireless network
Todd Allen

Todd Allen

Advanced nuclear energy, hydrogen, public policy

Mark Allison

Autonomic control of complex cyberphysical systems
Daniel Almirall

Daniel Almirall

Causal inference for longitudinal data

Karen Alofs

Integrating data on environmental change and ecological communities
George Alter

George Alter

Metadata for demographic behavior, research transparency and data security

M. Reza Amini

Intelligent transportation, autonomous vehicles, connected vehicles, mobility

Nazanin Andalibi

AI ethics, AI justice, social implications of algorithms and AI

Sardar Ansari

Biomedical Informatics, Deep Learning, Electronic Health Records, Natural language processing, Signal and Image Processing, Wearable Devices, machine learning, optimization
Brian Athey

Brian D. Athey

Bioinformatics in psychiatric pharmacogenomics; high-throughput image analysis.

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