Affiliated Faculty

MIDAS works to foster interdisciplinary research collaboration across campus with our community of 550 affiliate faculty members, who come from over 60 U-M departments, and include instructional (tenure / tenure track / lecturer), clinical and research track faculty.


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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Jeffrey Morenoff

Jeffrey Morenoff

Spatial inequality, criminal justice, incarceration, neighborhood change

Emily Mower Provost

Emotion modeling and assistive technology

Barzan Mozafari

Practical database solutions to real-world problems
Bhramar Mukherjee

Bhramar Mukherjee

Bayesian methods in epidemiology and gene-environment interaction

Yi Lu Murphey

Intelligent Systems
Raj Rao Nadakuditi

Raj Rao Nadakuditi

Statistical signal processing and random matrix theory

Viswanath Nagarajan

Efficient algorithms for combinatorial optimization problems
Deepak Nagrath

Deepak Nagrath

Metabolic Systems Biology, Tumor Microenvironment, precision medicine

Inbal (Billie) Nahum-Shani

Methods for construing adaptive interventions, adaptive interventions
Dr. Najarian

Kayvan Najarian

Computer-assisted clinical decision support systems

Brahmajee Nallamothu

Quality of care and patient outcomes
Nambi Nallasamy

Nambi Nallasamy

Intersection of Machine Learning and Ophthalmology

Romesh P. Nalliah

Evaluation of healthcare and education processes
Satish Narayanasamy

Satish Narayanasamy

Computer architecture, software systems and program analysis
Joshua P Newell

Joshua P Newell

geographic information systems, gis, remote sensing, resource flow analysis, sustainability, urban systems
Long Nguyen

Long Nguyen

Statistical inference in richly structured data