Affiliated Faculty

MIDAS works to foster interdisciplinary research collaboration across campus with our community of 570 affiliate faculty members, who come from over 60 U-M departments, and include instructional (tenure / tenure track / lecturer), clinical and research track faculty.

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Distribution of MIDAS affiliate faculty by primary college, school, or unit.

Yearly faculty collaborations on grant proposals since 2018, facilitated by MIDAS. Image credit: Bernardo Modenesi (MIDAS Data Science Fellow), Beth Uberseder (MIDAS Research Manager), and Ken Reid (MIDAS Data Scientist).

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

Joelle Abramowitz

Examining effects of policies on decisions and wellbeing

Ellie Abrons

Advancing equitable housing, digital materiality, and social justice

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

Mahesh Agarwal

geometry., Number theory, polynomials

Arun Agrawal

Data science to support advances towards sustainability