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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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

Romesh P. Nalliah

Evaluation of healthcare and education processes

Bin Nan

Estimation and inference of large co-variance and precision matrices from temporally dependent data

Satish Narayanasamy

Computer architecture, software systems and program analysis

Long Nguyen

Statistical inference in richly structured data

Gilbert S. Omenn

Cancer proteomics and splice isoforms

Luis E. Ortiz

Systems involving the interaction of a large number of “entities”

Jason Owen-Smith

The collective dynamics of large scale networks and their implications for innovation

Necmiye Ozay

Heterogeneous data from sensor and information-rich networked dynamical systems