Egheosa Ogbomo

Egheosa has a broad range of experience related to the AI & machine learning, aerospace, automotive, and university start-up sectors. He has completed internships at the Advanced Propulsion Centre UK and Jaguar Land Rover, where he worked to develop and promote novel, low-carbon automotive technologies. In addition, he was chosen by the Imperial ReCoDe program to create a course instructing fellow PhD students on how to develop AI models for text classification. He founded a startup leveraging generative AI to improve various aspects of gaining IP, which was named Imperial College London’s digital & finance startup of 2023.

Egheosa holds a PhD from Imperial College London, following the completion of his MEng degree in Engineering from the University of Warwick.

His Master’s project focused on developing object detection and navigation systems for autonomous vehicles using convolutional neural networks and A* path-planning algorithms.

His PhD focused on developing and applying evolutionary algorithms, machine learning, and equilibrium/non-equilibrium molecular dynamics techniques to autonomously design and characterise novel lubricant base oils and lubricant additives for improved performance and sustainability. From his research, he was able to publish a paper on the mechanochemical decomposition of tri-cresyl phosphate, a widely used aerospace lubricant additive.