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Francis Ogoke will join the Mechanical Engineering Department Faculty as an assistant professor in Fall 2025.

He is broadly interested in developing artificial intelligence and deep learning methods to enhance, understand, and control engineering processes. His work focuses on creating physics-informed deep learning methods to accelerate simulation-based insights, designing probabilistic frameworks for uncertainty analysis, and developing generalizable representation learning frameworks. These efforts aim to build foundational models for engineering problems. He is interested in applying these frameworks to areas including advanced manufacturing, sensing, cyber-physical systems, and digital twins.

Ogoke is a recipient of the Presidential Fellowship in the College of Engineering at Carnegie Mellon University, and the G.E.M. Fellowship. He received a Ph.D. in mechanical engineering from Carnegie Mellon University in 2024, and a B.S.E in chemical and biological engineering from Princeton University in 2019. He is currently a postdoctoral associate at the Massachusetts Institute of Technology.

Email
oogoke@andrew.cmu.edu
Google Scholar
Francis Ogoke

Education

2024 Ph.D., Mechanical Engineering, Carnegie Mellon University

2019 B.S.E., Chemical and Biological Engineering, Princeton University