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. 

Christopher focuses on machine learning applied to biomarker signatures for diagnostic, prognostic and treatment response prediction applications. He has a BA in Natural Sciences (Pharmacology) from Cambridge University and a PhD in Biochemistry from University College London. Christopher also has post-doctoral research experience in the pharmaceutical industry. Christopher has extensive experience with invention capture, patent drafting and global patent prosecution for inventions relating to ML classifiers for use in cancer early detection and treatment management. 

Chris has also completed a Machine Learning Specialization course with Stanford University. 

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.

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. 

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.

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.

Jack is a trainee patent attorney with a broad background in life sciences, with a focus on bioinformatics. 

Jack has a MSci in Systems biology and BA in Natural sciences from the University of Cambridge (specialising in neuroscience). His masters project focussed on developing software to detect and quantify the effects of Alzheimer’s-related proteins.