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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Keith Aaronson, MD

heart failure, heart transplantation and mechanical circulatory support.

Steven Abney

Computational linguistics with data science methods

Yasser Aboelkassem

Biofluids, Cardiac Mechanics, Machine Learning and Medical Devices., Multi-scale Computational Medicine

Mohamed Abouelenien

Affective Computing, Multimodal Interaction, Natural language processing, computer vision, machine learning

Joelle Abramowitz

Examining effects of policies on decisions and wellbeing

Ellie Abrons

and social justice, digital culture, ethical AI and technology
Eytan Adar

Eytan Adar

Large-scale human-computer interaction

Andrew J. Admon, MD, MPH, MSc

critical care delivery, observational causal inference

Peter Adriaens

Data science tools for finance research
Michelle Aebersold

Michelle Aebersold

Simulation and data tools for nursing education
Mahesh Agarwal

Mahesh Agarwal

Number theory, geometry., polynomials
Arun Agrawal

Arun Agrawal

Data science to support advances towards sustainability

Carlos Aguilar

Integrative genomic analysis of muscle stem cells after injury and aging.
Alauddin Ahmed

Alauddin Ahmed

Revolutionizing materials with AI and quantum innovation

Omar Jamil Ahmed

Deciphering natural neural networks in health and disease

Hyun-soo Ahn

Mathematical models of supply chain management