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Francis Ogoke is an Assistant Professor in the Department of Mechanical Engineering at Carnegie Mellon University, where he directs the FORGE Lab. His research is broadly focused on developing artificial intelligence and deep learning methods to enhance and control engineering processes. His work centers on creating physics-informed deep learning approaches that accelerate simulation-based insights, designing probabilistic frameworks for uncertainty analysis, and developing generalizable representation learning frameworks. Ogoke's efforts are aimed at building foundational models for complex engineering problems, with interests in applying these frameworks to advanced manufacturing, sensing, cyber-physical systems, and digital twins. He received his Ph.D. in Mechanical Engineering from Carnegie Mellon University in 2024 as a Presidential Fellow, and also received the Ph.D. Dissertation Award. Prior to joining the faculty, he was a postdoctoral associate at MIT.
MIT • Cambridge, MA
Conducted research in artificial intelligence applications in engineering.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.