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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Lorraine Buis

chronic disease self management.

Bilal Butt

Agritech, Big Data, Environmental Social Sciences

Eunshin Byon

Sustainable energy systems and reliability engineering

J. Brian Byrd

Patient-oriented hypertension research, collaborations with data scientists
Changxiao Cai

Changxiao Cai

Mathematical Data Science, machine learning, optimization, statistics

Jessica K. Camp

National and international trends in poverty and inequality
Dallas Card

Dallas Card

Natural language processing, and computational social science, machine learning

Neil Carter

complex adaptive systems, human-wildlife coexistence

Tim Cernak

Computational design of chemical reactions and synthesis

Lucia Cevidanes

Quantitative markers for temporomandibular joint osteoarthritis risk prediction
Joyce Chai

Joyce Chai

Artificial Intelligence, Natural language processing, situated communication

Mithun Chakraborty

Multi-agent decision-making, collective forecasting, fairness and diversity
Charu Chandra

Charu Chandra

Complex systems in the manufacturing and service sectors

Sriram Chandrasekaran

Computer models of protein networks

Xiuli Chao

Data-driven operations optimization

Jowei Chen

Political geography and US political institutions