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About Thomas

Tom read Natural Sciences at the University of Cambridge, studying chemistry and physics before specialising in Materials Science with areas of study including: thin films, energy harvesting, thermodynamics, biomedical materials, materials for optoelectronic devices, and nuclear materials. Tom’s Master’s project involved the study and construction of sustainable composite structures for use in magnetoelectric energy harvesting devices and free standing thin films for use in such devices.

Tom completed an internship at Cambridge Nanosystems, a UK leader in commercial graphene technology and also carried out a placement at the University of Göttingen in Germany where he researched avalanche dynamics in metallic glasses.

 

Tom joined Keltie after graduating in 2018.  Since joining Keltie, Tom has worked mainly in the Engineering team, dealing with a range of subject matter including automotive technology, renewable energy, marine structures, medical devices and glass processing and working with a range of clients from individuals to SMEs and multinational corporations.

Tom qualified as a UK and European Patent Attorney in 2022.

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Edwards vs Meril case at the Unified Patent Court

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Edwards vs Meril case at the Unified Patent Court

In this article, Molly Yau looks at the Edwards vs Meril case at the Unified Patent Court (UPC), and explores its procedural implications. Molly draws on her academic background and long-standing interest in cardiovascular devices to introduce key technical details of the case - which relates to implantable prosthetic heart valves and delivery systems - and highlights the decision’s significance for UPC practice.

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Setting your IP strategy – Part I: Prioritisation of IP in AI

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Setting your IP strategy – Part I: Prioritisation of IP in AI

As a commercial tool, IP rights can increase profits, attract investment, and raise a company's valuation. However, if not approached strategically, the sometimes relatively high costs involved in securing and maintaining some IP rights may render them not worth the investment. More specifically, in the field of Artificial Intelligence (AI), additional requirements associated with some IP rights may impact an IP strategy. The following article outlines a number of key considerations and tips for maximising the financial benefits of IP in AI.

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