Emma focuses on AI as applied to e commerce, educational tools, digital health, internet of things, as well as optics/photonics. She recognises the fast moving nature of software and the need to obtain protection quickly. She takes a proactive approach in prosecution including arranging examiner interviews and regularly advises upon acceleration mechanisms, both locally in the UK and Europe as well as across global portfolios. Emma has a particular focus on drafting applications designed to achieve the best protection possible in both Europe and the US; a skill that often requires just the right amount of compromise. In 2014 she spent time on secondment working in Silicon Valley, giving her a unique perspective of the challenges that US applicants face when patenting in Europe.

Emily has a particular expertise in the application of AI to knowledge graphs, IoT, CAD/CAM and e-commerce. Before joining Mewburn Ellis, Emily worked as a software engineer at a CAD/CAM software company, an e-commerce company and a research institute and has experience working with a variety of programming languages. In her work at an e-commerce company, she developed applications that integrate internally developed machine learning models, including computer vision and computer audition models, to optimise pricing and operations. 

Henry is a trainee patent attorney in the Engineering practice group.

Henry graduated with a first-class degree in Computer Science with Artificial Intelligence from the University of Leeds. His final year project looked at methods of reconstructing audio from spectrogram images using algorithmic and machine-learning approaches and proposed it as an alternative form of audio compression.

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 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. 

Alex has a particular expertise in the application of AI to simulation and imaging, especially in the nuclear, medical and space-tech sectors.

Alex has experience working across all stages of the patent life cycle on inventions leveraging the power of AI, from invention capture and drafting, through prosecution, to opposition proceedings at the EPO. He is experienced in helping start-up companies and SMEs build and manage their patent portfolios.

Alex also drafts and prosecutes applications in the bioinformatics space, and in the field of AI-based generative design – e.g. for the purpose of electronics design.