Around 280 U-M faculty members from over 60 departments are affiliated with MIDAS.

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

Jon Zelner

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

Xingyu Zhang

Natural language processing, biostatistics, data mining, epidemiology, health service, healthcare outcome, machine learning, medical imaging analysis

Jun Zhang

Algebraic and geometric methods for data analysis

Lili Zhao

Statistical methods in medical research

Xiang Zhou

Statistical and computational methods for genetic and genomic studies

Ji Zhu

machine learning, network analysis and high-dimensional data analysis for health sciences

Qiang Zhu

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

Paul Zimmerman

Computational chemical reaction discovery

Sebastian Zoellner

Methods and applications in statistical genetics