Philip is a Partner, Patent and Trade Mark Attorney and UPC Representative, based between the Oxford and Cambridge offices. He specialises in the protection of machine learning and artificial intelligence inventions and has over a decade of experience advising on patenting some of the most significant developments in the field.
His technical expertise spans a wide range of machine learning techniques, architectures and applications, including reinforcement and contrastive learning, graph neural networks and transformer based models, generative architectures including language and vision language models, and systems for video, image and audio processing. He regularly advises on interdisciplinary matters, working at the interface of AI with bioinformatics, computational biology, robotics, biotechnology, materials and organic semiconductors. His experience includes drafting patent applications to meet the specific requirements of the European Patent Office for computer implemented inventions.
Philip also has substantial experience in contentious matters. He has led approximately 70 European Patent Office oppositions (with around an 85 per cent success rate) and has advised on UK and international litigation, including giving evidence relating to patent prosecution matters. A patent he drafted resulted in damages of more than US$500m.
He holds advanced academic qualifications in physics and engineering and was short-listed as the UK's first astronaut. He has prior industry experience including as an analogue and digital RF design engineer and as a project manager. He has been consistently recognised in independent legal directories, including IAM Patent 1000, Managing Intellectual Property and Legal 500, for his technical expertise and strategic approach to patent practice.
Chartered (UK) and European Patent Attorney
Patent Agent Litigator
UPC Representative
PhD, Cranfield University
Philip is a Partner, Patent and Trade Mark Attorney and UPC Representative, based between the Oxford and Cambridge offices. He specialises in the protection of machine learning and artificial intelligence inventions and has over a decade of experience advising on patenting some of the most significant developments in the field.
His technical expertise spans a wide range of machine learning techniques, architectures and applications, including reinforcement and contrastive learning, graph neural networks and transformer based models, generative architectures including language and vision language models, and systems for video, image and audio processing. He regularly advises on interdisciplinary matters, working at the interface of AI with bioinformatics, computational biology, robotics, biotechnology, materials and organic semiconductors. His experience includes drafting patent applications to meet the specific requirements of the European Patent Office for computer implemented inventions.
Philip also has substantial experience in contentious matters. He has led approximately 70 European Patent Office oppositions (with around an 85 per cent success rate) and has advised on UK and international litigation, including giving evidence relating to patent prosecution matters. A patent he drafted resulted in damages of more than US$500m.
He holds advanced academic qualifications in physics and engineering and was short-listed as the UK's first astronaut. He has prior industry experience including as an analogue and digital RF design engineer and as a project manager. He has been consistently recognised in independent legal directories, including IAM Patent 1000, Managing Intellectual Property and Legal 500, for his technical expertise and strategic approach to patent practice.
Chartered (UK) and European Patent Attorney
Patent Agent Litigator
UPC Representative
PhD, Cranfield University