Around 260 U-M faculty members from over 60 departments are affiliated with the Michigan Institute for Data Science, providing them access to collaboration opportunities, support for research funding submissions, and updates on data science news and events at U-M and beyond.

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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Jessica K. Camp

National and international trends in poverty and inequality

Tim Cernak

Computational design of chemical reactions and synthesis

Charu Chandra

Complex systems in the manufacturing and service sectors

Sriram Chandrasekaran

Computer models of protein networks

Jowei Chen

Political geography and US political institutions

Yang Chen

Statistical inference and applied statistics in biology and astronomy

Yi-Su Chen

Supply chain security, product quality and safety

Vu-Minh Chieu

Technology-enhanced personal learning

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

Jason Corso

High-level computer vision for human language, robotics and data science

Kai S. Cortina

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

William Currie

Physical, chemical and ecological processes in the ecosystems

Mark S. Daskin

Supply chain network design in general and facility location models

Gerald Davis

Corporate governance and the effects of finance on society

Matthew A. Davis

Large datasets in health services policy