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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Amy M. Yorke

Physical therapy education
Stella Yu

Stella Yu

representation learning with minimal supervision

Luis Zaman

experimental computational approaches in ecology and evolutionary biology, host-parasite coevolution
Jon Zelner

Jon Zelner

Spatial analysis, social network analysis and dynamic modeling for infectious diseases

Dominika Zgid

chemistry, physics and materials science
Jun Zhang

Jun Zhang

Algebraic and geometric methods for data analysis

Justine Zhang

computational analysis of conversations

Y Z (Yang Zhang)

Far-from-equilibrium physics, extreme robots, liquid state physics, long timescale phenomena, neutron scattering, rare events, soft robots, statistical mechanics, swarm robots
Liang Zhao

Liang Zhao

Solar wind plasma, heliophysics
Chuan Zhou

Chuan Zhou

AI in medical imaging, precision medicine

Feng Zhou

User behavior/data research for human-centered design

Xiang Zhou

Statistical and computational methods for genetic and genomic studies

Ji Zhu

analysis of high-dimensional data, and their applications in health sciences, biology, finance and marketing., machine learning, statistical network analysis

Kai Zhu

Environmental data science
Qiang Zhu

Qiang Zhu

Techniques supporting queries on large datasets in non-ordered discrete data space

Yuri Zhukov

armed conflict, disaggregated data, political violence