Osonde Osoba (oh-shOwn-day aw-shAw-bah) is a senior information scientist at the RAND Corporation and a professor at the Pardee RAND Graduate School. Osoba’s research work weaves together two strands: the principled application of Artificial Intelligence/Machine Learning (AI/ML) to diverse facets of policy research & the examination of implications of data-driven decision systems. Recurring themes in his work include algorithmic equity, modeling for decision support, & modeling behaviors.
Osoba is the associate director for Tech & Narrative Lab at the Pardee RAND Graduate School. And he codirects RAND’s Center for Scalable Computing and Analysis.
Before RAND, Osoba was a researcher at the Signal and Image Processing Institute (SIPI) at the University of Southern California (USC) where he worked on theoretical and applied methods for speeding up machine learning algorithms. His work there is the basis of several machine-learning patents. He received his Ph.D. in electrical engineering from the University of Southern California, and his B.S. in electrical and computer engineering from the University of Rochester.
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