I am a Co-Founder of Origami Labs, where I will be looking at how new technologies impact the real world, and how we can use them in new and exciting ways.

I currently lead the AI/ML Capability within the Assured Autonomous Systems area at Frazer-Nash.

Work of note:- Leading development of REARM, an autonomous front line resupply management system, using machine learning and simulation to perform rapid route finding, resource consumption prediction, and multi vehicle optimisation. Demonstrated at Autonomous Warrior Experiment (Land) 2018 under the Autonomous Last Mile Resupply (ALMRS) programme.- Developed the natural language processing (NLP) technology behind an innovative document processing tool.- Won an innovation award for the use of Artificial Intelligence (AI) and reinforcement learning (RL) to develop optimal strategies.- AI lead on a project to develop safety case arguments for autonomous systems.- Designing and leading development of an API to improve the speed and quality of nuclear material property predictions, resulting in large cost and time savings for the client.- Using convolutional neural networks to detect difficult targets in satellite based synthetic aperture radar (SAR) imagery (Sentinel).

My interests at Dstl mostly consisted of:- Research in biometrics, specialising in face and fingerprint recognition- Development of algorithms for MASINT research- Lecturering on Imagery Intelligence (IMINT) at the QWI(ISR) course at RAF Waddington- Technical partnership for two SAPIENT projects, providing consultancy and advice- Investigation into novel sensor concepts

I was embedded at the Defence Geospatial Intelligence Fusion Centre (DGIFC), where I am undertaking research into various intelligence disciplines.