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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Neda Masoud

Sharing economy and connected and automated vehicle technology for the future of mobility

Heather B. Mayes

Structure-function relationships of proteins and sugar interaction

Charles Mayo

Analytical tools for clinical practice evaluation

Brian P. McCall

Labor economics, program evaluation and the economics of education

Jeffrey S. McCullough

Technology and innovation in health care

Timothy McKay

Improving postsecondary student outcomes using digital data

Walter Mebane

Statistical analysis of election results

Qiaozhu Mei

Information retrieval and text mining

Eric Michielssen

Theoretical, and computational electromagnetics, applied

Rada Mihalcea

Natural language processing, and applied machine learning, information retrieval

Christopher Miller

Astronomical data mining and computational astrostatistics

Brian Min

Political economy of development

Colter Mitchell

Causes and consequences of family formation behavior

Zeina Mneimneh

Social media and neighborhood contextual data for social and health sciences

Victoria Morckel

Causes and consequences of population loss

Emily Mower Provost

Emotion modeling and assistive technology