The MIDAS affiliate faculty community consists of 340 U-M faculty members from over 60 departments.

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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Jerome P. Lynch

Large-scale sensor networks for monitoring and control of civil infrastructure

Di Ma

Security, and applied cryptography, privacy

Puneet Manchanda

Using econometrics and machine learning methods to infer causality

Murali Mani

Big data management, analytics and visualization

Z. Morley Mao

and security, mobile and distributed systems, networks

John E Marcotte

Data Management, Data Security, Data Sharing, Discrete Data

Jason Mars

Sophisticated salable systems for A.I., and natural language processing, computer vision

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