Distribution of MIDAS affiliate faculty by primary college, school, or unit.
Affiliated Faculty
Yearly faculty collaborations on grant proposals since 2018, facilitated by MIDAS. Image credit: Bernardo Modenesi (MIDAS Data Science Fellow), Beth Uberseder (MIDAS Research Manager), and Ken Reid (MIDAS Data Scientist).
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.
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Cyrus Omar
designing modern user interfaces for modern programming languages
Jim Omartian
Machine learning for studying organizational behavior
Mohammed Ombadi
Climate and Weather Extremes, Hydrology, climate change, data science
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
decision-making, efficient and robust ML, learning and optimization theory
Necmiye Ozay
Heterogeneous data from sensor and information-rich networked dynamical systems
Joyojeet Pal
Political social media analysis, misinformation
Yulin Pan
data assimilation, fluid mechanics, physical oceanography
Dimitra Panagou
Control, Multi-agent systems, multi-robot/vehicle systems
Leopoldo Pando Zayas
Quantum gravity, information and chaotic systems
Jeong Joon Park
3D generative models, computer graphics, computer vision
Shobita Parthasarathy
Ethical social political dimensions of data collection interpretation and use
Josh Pasek
New media, psychological processes and political behaviors