The MIDAS affiliate faculty community consists of >400 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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Quan Nguyen

learning analytics, network analysis, time-series analysis

Marie O’Neill

environmental and occupational epidemiology, focus on health equity

Gilbert S. Omenn

Cancer proteomics and splice isoforms

Gabor Orosz

Automated, Connected, Control, Delay, Dynamics, Learning, Traffic, Vehicle

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

Ranjan Pal

Data Science Driven Interdisciplinary Solutions to Improve Cyber-Security and Privacy

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