Chartered & European patent attorney (CPA, EPA)
MSci, PGCert Intellectual Property Law
Tom joined the IT and electronics team at Mathys & Squire after working for one year in another large UK-based firm. Tom has a lot of experience with computer software inventions including artificial intelligence and machine learning inventions.
Tom’s expertise includes use of convolutional neural networks in multiple different fields, as well as the application of deep neural/capsule/highway networks to problems associated with computer vision. He has experience with design of AI/ML systems, such as use of neural architecture search, natural language processing for text input and implementation of bandit algorithms during training. This includes drafting and prosecuting applications with a view to satisfying excluded subject matter requirements in the UK, Europe and the US. Tom also has experience with medical devices, substance detection systems, near-field communication devices and engines.
Tom graduated from UCL with a MSci in Theoretical Physics. His course covered a range of different subject areas within maths, physics and engineering. His master’s project focused on developing computational methods to improve the modelling of molecular energy levels in molecules, so that the composition of exo-planetary atmospheres could be analysed with greater reliability.
Other areas covered during his time at university included molecular spectroscopy, classical mechanics and fluid dynamics, stochastic calculus, electromagnetism, lasers and quantum physics.
Memberships & organisations
Tom is a student member of CIPA & EPI.
AI & machine learning
IT & software
Manufacturing, engineering & automotive
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