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.

Alex focuses on inventions relating to artificial intelligence and machine-learning, as well as other technologies having a strong mathematical focus, such as cybersecurity and cryptography. His experience includes both drafting patent applications for AI technologies, and prosecuting AI patent applications in the UK, Europe, and internationally. Alex has handled patent applications for bioinformatics, medical image processing, cheminformatics, and pharmacokinetics as well as inventions relating to core AI, such as methods of training machine-learning algorithms, functioning of individual neurons in an artificial neural network, and explainable AI. Alex also has experience drafting patent applications relating to the application of generative AI in healthcare. Alex has completed a Machine Learning Specialization course with Stanford University. 

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.

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.

Amelia is a technical assistant in our AI team with particular expertise in the application of AI to digital security and quantum technologies. She has an MSci in mathematics from Imperial College London, and has experience prosecuting AI patents in relation to med-tech. While personally specialising in topology, her degree covers a wide range of subject areas, with knowledge in machine learning and number theory being especially useful in relation to cryptography and digital security.