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 obtained a MEng degree in Engineering from the University of Warwick and is on course to obtain a PhD from Imperial College London.

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.