Tom has a particular interest in transport and logistics, AI hardware as well as health/bioinformatics. He has a wealth of hands-on experience in the AI space, having worked with companies across the technical spectrum in areas such as multi modal threat detection, neurological assessments, and video analysis.

Tom works with inventors during the invention capture process to ensure that the resulting patent application is robust and suitable across jurisdictions. He also regularly assists foreign attorneys to obtain European protection for AI inventions. 

Rebecca has a particular interest in transport/logistics and AI hardware as well as electronic design. Before joining Mewburn Ellis, Rebecca worked as an electronics and firmware engineer for a technology consultancy where she undertook a variety of research and development projects for the defence and aerospace industries. Rebecca has a breadth of practical experience in FPGA design, analogue and digital electronics, radar modelling, and radio communications. Additionally, Rebecca has significant experience from her Masters project and her time as a technology consultant in applying AI/ML for signal processing, computer vision and data security applications. She has practical experience using Caffe, Pytorch, Keras, and Tensorflow to build and test neural networks such as CNNs, GANs and LSTMs. 

Jordan has a particular interest in the application of AI to the transport and logistics sectors. He has an MEng degree in Materials Science and Engineering from Imperial College London, where he utilised machine learning in experimental simulations. Jordan has experience in regularisation, random forest, and classification algorithms for machine learning applications. His patent work includes prosecution of AI related applications in a wide variety of technical fields.