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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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
Leopoldo Pando Zayas

Leopoldo Pando Zayas

Quantum gravity, information and chaotic systems
jjpark

Jeong Joon Park

3D generative models, computer graphics, computer vision

Shobita Parthasarathy

Ethical social political dimensions of data collection interpretation and use
Josh Pasek

Josh Pasek

New media, psychological processes and political behaviors