AI: MedTech

Daniel is a UK and European patent attorney working in the fields of engineering, electronics, and software. He has extensive experience in drafting and prosecuting UK, European and International (PCT) patent applications, and handles patent prosecution in a variety of jurisdictions such as the US, Japan and China. Daniel has a great track record of getting tricky applications granted and works with his clients to build robust patent portfolios around their technologies.

Daniel also regularly undertakes freedom-to-operate (FTO) and patent-landscaping projects, providing strategic and commercially-minded advice to help clients navigate third party IP. Building on his FTO work, he help clients to challenge identified patents to clear the way for their products, e.g. by filing third party observations and/or oppositions at the EPO.

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. 

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.

Richard has in-depth experience of navigating the IP challenges of incorporate AI innovations across a variety of sectors, including healthcare, telecommunications, and consumer electronics. He has over 20 years’ experience in building valuable IP portfolios for his clients. One of his notable achievements includes his work with Realeyes, a leader in AI-driven emotion analytics. Richard plays a key role in securing patents for Realeyes' innovative data handling technology that underpins their use of AI to analyse facial expressions and measure human behaviour. Richard has a particular interest in the ethics and policy around the intersection of AI and intellectual property, and has published a number of articles around that topic.

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.

Camille has particular expertise in data driven approaches in pharma, biotech and healthcare. She has a wealth of experience dealing with the use of AI for medical and biological data analysis, from protein language models to multimodal learning on health data. She advises clients of all size on patentability, IP strategy, opposition, drafting and prosecution in this specific field, often acting as the resident expert on the topic for her larger clients. Having been working in this field for 10+ years, she has deep experience of EPO practice in this regard, and a network of trusted attorneys worldwide who can handle this work. She is passionate about maths and data, and her alternate reality self would work as an AI researcher for one of her clients. 

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. 

Charlotte is a patent attorney working as part of our engineering and ICT team. She is experienced in working at all stages of the patent application process and has been involved in broader commercial strategy projects (involving analysing competitor patent activity, for example).

Charlotte has a keen interest in medical technologies, especially those in the “FemTech” sector which are designed to support women’s health. She has particular experience arguing in favour of the patentability of computer-implemented inventions at the European patent office, including those directed towards artificial intelligence (AI) and its application to fields such as bioinformatics and digital health.

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. 

Kara graduated from the University of Stirling with a Bachelor’s degree in Computing Science with Honours. For her dissertation project she developed an interface between an AGV fleet planning algorithm and a warehouse navigation system to reduce the computational load of path planning. This project achieved distinction and Kara was presented with the award for best final year student. She worked as a software developer for a Berlin-based start-up providing AI-based software solutions for robotics. Kara’s particular research interests lie in Machine Learning for surgical robotics.