The Life Sciences and Healthcare team offers you a broad range of expertise in the pharmaceutical, medical and biotechnology field.
Meet the team
Below are the key members of the AI team
As a partner in our AI team, Gemma handles complex AI subject matter with a particular focus on explainability, safety, and verification of AI models. Gemma has extensive experience in drafting and prosecuting patent applications in the fields of Reinforcement Learning (including Safe RL), Transfer Learning, and Distributed Learning, as well as applications of probabilistic graphical models, control theory and optimisation.
Gemma’s many years of telecommunications experience, and her familiarity with security and encryption technology, mean she is comfortable handling subject matter at the intersection of AI and multiple related disciplines, as well as AI deployment solutions over cloud, fog and Internet of Things networks. Gemma enjoys building excellent working relationships with in house counsel, AI engineers and researchers, pursuing a collaborative approach to securing high quality, commercially valuable protection for innovations at the forefront of AI development.
Kim has extensive experience drafting and prosecuting patents relating to machine learning in the fields of Telecoms, Medical Technology and Consumer Electronics. Kim has particular experience in Neural Networks, Reinforcement Learning (including Deep-RL), Federated Learning and Graph Analytics.
Kim’s PhD incorporated a large component of image processing, and the application of machine learning to image analysis is a particular interest of hers. Kim founded Haseltine Lake Kempner’s internal AI-Group and enjoys giving seminars on both the technical and legal aspects of protecting AI inventions. Kim has also written various blog posts on the subject, her latest can be found here:
AI: Patentable or Unpatentable before the European Patent Office?
Lisa is a partner in our AI team who is notable for the strong relationships that she establishes with the inventors and clients that she works with. Many of these return time after time, asking for Lisa to handle their work.
Lisa has a wealth of experience in drafting and prosecuting patent applications in the field of AI, including those relating to supervised learning (classification, regression, and forecasting), semi-supervised learning, unsupervised learning (clustering, and dimensionality reduction), reinforcement learning, and explainable AI. As Lisa is so heavily involved in handling cases in this fast-moving field, she sees first-hand how the emerging law is being applied to patent applications. This positions her well when it comes to explaining the challenges and considerations that businesses should be aware of when patenting AI inventions. Lisa’s AI experience spans various technologies, from healthcare to telecommunications, and she also has extensive experience in drafting and prosecuting patent applications relating to other types of software, such as in virtual networks, cloud computing systems, automation, and the Internet of Things. The knowledge that Lisa has built up means that she understands even the most complex of AI inventions and how they may be applied in different technical fields. Most of Lisa’s time is spent working with large multinational European companies and clients in the US, which means that she has an appreciation for the differing laws and practices. Lisa also works with high-tech start-ups, applying her commercial mindset to develop their IP and business planning to add value to their businesses.
Caroline is a former coder, now partner in the AI team, who has followed AI’s progression from expert systems, through ‘big data’ right up to the present day. She enjoys the puzzle of writing patent applications for AI inventions at a time when the law and practice is yet to fully crystallise, actively seeking to build drafting strategies and practices to future-proof applications written now, but to be examined and tested in the years to come.
Her innate intellectual curiosity in this fascinating area drives her to fully understand AI inventions, while her ability to characterise these at different levels of abstraction bridges the gap between inventors, patent managers and patent examiners.
Frances is a partner in our AI team who is highly regarded for her instinctive ability to craft simple, commercially-focussed solutions to complex problems. Frances has built up significant experience in drafting and prosecuting Machine Learning and other algorithm/software patent applications worldwide, but primarily in Europe and the US, focussing on Bioinformatics, CNNs/Deep Learning, simulations, data centres, cloud and Internet of Things inventions and business-related software.
She also brings a wealth of experience from her many years as an Examiner at the European Patent Office where she conducted both examination and opposition proceedings in a wide variety of fields. Frances’ extensive experience across a broad range of subject matter allows her to work together with clients from many different technical areas, who are now looking to protect AI inventions for their business. She enjoys the commercial aspects of client advice, including portfolio management, litigation preparation and due diligence projects.
Isobel leads the life sciences and biotechnology team at Haseltine Lake Kempner and brings her considerable experience of patenting in the biotechnology, healthcare and precision medicine space to the AI team’s Bioinformatics projects. Her collaborative approach and insightful analysis is valued in creating IP strategies to support clients’ commercial requirements.