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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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

Josh Pasek

New media, psychological processes and political behaviors

Sandun Perera

Supply chain and revenue management

Brian Perron

Services research for mental and substance use disorders

Mark Peterson

Physical activity epidemiology

Timothy Pletcher

Modeling and simulating the value and benefits of data sharing and policy trade offs

Keshav Pokhrel

Cancer epidemiology, quantile regression, time series forecasting

Stephen M. Pollock

Operations research and decision analysis

Atul Prakash

Design of operating systems and database mechanisms for sensitive data