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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Davon Norris

Algorithmic inequality, Credit/debt, Race
Elle O'Brien

Elle O’Brien

DevOps for science research and public health

Marie O’Neill

environmental and occupational epidemiology, focus on health equity
Sally Oey

Sally Oey

Massive star populations and massive binaries, radiative transfer, starburst galaxies
Cyrus Omar

Cyrus Omar

designing modern user interfaces for modern programming languages

Jim Omartian

Machine learning for studying organizational behavior
Mohammed Ombadi

Mohammed Ombadi

Climate and Weather Extremes, Hydrology, climate change, data science
Gilbert S. Omenn

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
Samet Oymak

Samet Oymak

decision-making, efficient and robust ML, learning and optimization theory

Necmiye Ozay

Heterogeneous data from sensor and information-rich networked dynamical systems
Joyojeet Pal

Joyojeet Pal

Political social media analysis, misinformation
Yulin Pan

Yulin Pan

data assimilation, fluid mechanics, physical oceanography
Dimitra Panagou

Dimitra Panagou

Control, Multi-agent systems, multi-robot/vehicle systems