Dr. Francis Ogoke

Assistant Professor

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Biography

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.

Research Interests

Experience

Postdoctoral Associate

2024-01-01 — 2024-12-31

MIT • Cambridge, MA

Conducted research in artificial intelligence applications in engineering.

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.