Distribution of MIDAS affiliate faculty by primary college, school, or unit.
Affiliated Faculty
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).
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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.
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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
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
Simulation and data tools for nursing education
Mahesh Agarwal
Number theory, geometry., polynomials
Arun Agrawal
Data science to support advances towards sustainability
Carlos Aguilar
Integrative genomic analysis of muscle stem cells after injury and aging.
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