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My technical background and extensive experience in electronics, computer and networking technology, physics and optics has given me significant expertise in AI and machine learning patents.
My background is in digital communications, an industry that heavily relies on encoding for error correction and security and I hold a PhD in mobile telecommunications. There is a technical overlap between coding algorithms and neural networks, both of which rely on mathematical graph theory.
The industries with which I work have adopted machine learning to process large quantities of data, such as in electrical, electronic and/or software systems. AI is being used by my clients to drive technological improvements and it has been exciting to provide strategic advice on building patent portfolios in this area and offering expertise in IP as it relates to AI. I also have a particular interest in the cutting edge hardware and software used in AI, especially new processing architectures that can deliver increased speed and reduced power consumption.
My work with AI clients centres on drafting and prosecuting patent applications in the UK and the European Patent Office, assisting in obtaining patents in other countries and advising on other strategic issues, including relevance of training data and detection infringement, particularly for pre-trained models. I have significant experience across hardware/processor-architectural developments, stochastic-based algorithms and applications to telecommunications and image processing systems.
The ever-evolving nature of AI is fascinating to me and I see it growing into new areas, such as health data, network performance, control systems. I am enthusiastic to see new hardware optimisations for more efficient AI implementations over the coming years.
