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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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
Barzan Mozafari

Barzan Mozafari

Practical database solutions to real-world problems

Bhramar Mukherjee

Bayesian methods in epidemiology and gene-environment interaction

Somangshu Mukherji

Prolongational, grammatical aspects of Western tonality and connection to Indian music

Yi Lu Murphey

Intelligent Systems

Raj Rao Nadakuditi

Statistical signal processing and random matrix theory

Viswanath Nagarajan

Efficient algorithms for combinatorial optimization problems

Kayvan Najarian

Computer-assisted clinical decision support systems

Brahmajee Nallamothu

Quality of care and patient outcomes