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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Christine Aidala

Christine Aidala

High-energy quantum chromodynamics
Mojtaba Akhavan Tafti

Mojtaba Akhavan-Tafti

data analysis and simulations for investigating solar and interplanetary systems

Raed Al Kontar

Smart and connected products and systems

Fadhl Alakwaa

machine learning, personalized medicine, predictive modeling

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

Jacob Allgeier

Using ecological theory to help solve conservation problems

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.