Outside of your comfort zone- Artificial Intelligence – Basic Concepts & Patenting

Alexander Korenberg, Kilburn & Strode

Described as “Tech maestro with a solid grip on the legal aspects of patent prosecution and extremely technically savvy” (IAM Patent 1000, 2020), Alexander is known to “build futureproofed patent strategies in cutting-edge areas such as AI” (IAM Patent 1000, 2021) and as an “AI expert” (IAM Patent 2022) for his “technical prowess extend[ing] from AI through life science devices” (IAM Patent 2023). He is listed as one of the world’s leading IP Strategists in Intellectual Asset Management’s IAM Strategy 300 and have co-edited a book on IP Strategy for the boardroom, based on years of experience advising clients on how to make strategic choices in the wider business context. Alexander leads the firm’s AI practice and publishes a monthly newsletter on patenting AI.

Alexander holds an MSci in Physics from Imperial College and a PhD in Computational Neuroscience from University College London. His technical expertise in Artificial Intelligence (AI) and Machine Learning (ML), stems from his time as a graduate student at the Gatsby Computational Neuroscience Unit, a centre of excellence for computational and theoretical neuroscience and statistical machine learning. Before that, during his undergraduate degree, Alexander read molecular biophysics and medical physics and spent a year in Grenoble, France, working on protein crystallography and molecular simulations. With an academic background and practice at the intersection of physics, computer science and life sciences, Alexander is perfectly placed to protect innovation in this expanding cross-sector field of technology.

Nathalie Richards, Kilburn & Strode

Nathalie is a trainee patent attorney at Kilburn & Strode, where her practice focuses on AI and other emerging technology such as quantum computing. Nathalie graduated with a Bachelor in Chemistry from the University of Nottingham in 2018. Her work included quantum mechanics and particle simulation using computers. After graduating, she worked as an analyst and then as a test engineer for a data company in London, where she implemented an automated testing framework. Prior to joining Kilburn & Strode Nathalie returned to academia to gain a Masters degree with Distinction in financial computing including Machine Learning, Trading and Risk System Development and Advanced Computing. Her Masters project concerned the Lorenz Lattice Gas Model, which has applications in understanding of proteins and DNA. With her cross-disciplinary background, Nathalie is ideally suited to advise clients on the intricacies of protecting inventions at the cutting edge of innovation combining computer science and life sciences and chemistry.