Gemma Martynwood

Gemma works for some of EIP's largest clients, primarily in the fields of software relating to image processing and artificial intelligence. She also has extensive experience in electronics-based inventions, including manufacturing techniques for electronic devices, control systems (including both software and hardware), and pixel design for display devices, involving structural and optical considerations. In addition, she has gained familiarity with a diverse range of other technology areas such as medical devices, automotive engineering and printing systems.

Gemma has been seconded to the in-house patents department of a telecommunications multinational, where she has gained valuable knowledge of the commercial considerations in building, managing and enforcing a substantial patent portfolio. For one of EIP’s major hardware and online retail clients, Gemma has advised senior in-house counsel to coordinate drafting and prosecution of a large portfolio, across multiple jurisdictions.

Gemma has experience of contentious matters, including patent litigation before the UK High Court alongside the EIP Legal team and opposition proceedings before the European Patent Office. She has also participated in appeal proceedings before the European Patent Office.

Prior to joining EIP Gemma worked as a research fellow based at CERN in Geneva, Switzerland, home of the Large Hadron Collider (LHC), the world’s highest energy particle accelerator. She continued the work of her DPhil towards the discovery of the Higgs boson, the last remaining undiscovered particle in the Standard Model of particle physics, which was found in July 2012.

As part of this research, Gemma gained experience in software development in a variety of different programming languages. In particular, Gemma worked on the development of multivariate techniques, including artificial intelligence-based methods such as artificial neural networks, to enhance the sensitivity of searches for the Higgs boson. Gemma also gained an understanding of big data analysis and the use of distributed computing networks.