The MIDAS affiliate faculty community consists of >360 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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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

Yulin Pan

data assimilation, fluid mechanics, physical oceanography

Shobita Parthasarathy

Ethical social political dimensions of data collection interpretation and use

Josh Pasek

New media, psychological processes and political behaviors

Ashley Payne

climate change, precipitation extremes

Brian Perron

Services research for mental and substance use disorders

Mark Peterson

Physical activity epidemiology

Amy Pienta

Data Sharing, data curation, research transparency

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

Vitaliy Popov

clinical simulations, learning analytics, multimodal