James takes a special interest in AI as applied to web tools, digital security and medical devices. He has over 15 years’ experience in drafting and prosecuting patent applications in software/AI. James has particular practical and legal expertise in securing patent protection for software/AI inventions lying close to the boundary of patent eligibility, including use of machine learning for cyber security. More broadly, James has deep expertise in advising clients on invention capture and IP strategy. He is also astute at seamlessly managing teams of attorneys within Mewburn to ensure his clients get access to patent attorneys with the technical skills they need, no matter what the size of their patent portfolio. James enjoys working with clients who have the same passion he has for technology which improves peoples’ lives.

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.

Alessio maintains state-of-the-art knowledge in high-growth areas of applied artificial intelligence, including robotics, natural language processing, network security, embedded systems, and AI agents. He also has an in-depth expertise in custom hardware, such as programmable logic devices (e.g. FPGAs), and other high-performance hardware for optimised neural network implementations.

Alessio has an MEng in Computing from Imperial College London. In addition to solid computer engineering foundations, he gained exposure and practical experience in various areas of knowledge representation, AI planning, machine learning, and high-performance computing. His final year research project investigated optimisation techniques for radiation therapy simulation on FPGA for use in adaptive radiotherapy. Additionally, Alessio worked as a software developer at a cyber security company specialising in military-grade encryption solutions for everyday mobile devices.

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.