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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Lei Chen

Lei Chen

Data-driven model in advanced manufacturing
Yan Chen

Yan Chen

causal inference, data science for social good, experiment design

Yang Chen

Statistical inference and applied statistics in biology and astronomy
Yi-Su Chen

Yi-Su Chen

Supply chain security, product quality and safety
Thomas L. Chenevert

Thomas L. Chenevert

Longitudinal Image Registration, Oncologic MR Imaging, Quantitative Imaging Biomarkers, Tumor Volume Segmentation

Mosharaf Chowdhury

Efficient AI/ML Systems
Michael Cianfrocco

Michael Cianfrocco

cryo-electron microscopy data collection and image analysis

Amy Cohn

Robust and integrated planning for large-scale systems in healthcare and aviation

Kevyn Collins-Thompson

Intelligent information systems that help people learn and discover

Frederick George Conrad

Exploring new methods and data for social research.

Lia Corrales

Statistical techniques for studying astrophysical aerosols in the X-ray and UV

Jason Corso

High-level computer vision for human language, robotics and data science
Kai S. Cortina

Kai S. Cortina

From children and adolescents to adulthood, and the role of education

Deena Costa

ICU interprofessional teams and patient outcomes

Michael Craig

Furthering climate mitigation and adaptation in energy systems

William Currie

Physical, chemical and ecological processes in the ecosystems