The Team
​​​
PatentBee is the result of a highly collaborative knowledge-sharing partnership between our coder and patent expert. This synergistic relationship combines deep domain expertise with cutting-edge technical implementation. Our patent expert brings years of specialised knowledge in pharmaceutical and biotechnology patent law, understanding the nuanced requirements of these complex fields. Meanwhile, our coder, with his prestigious AI career background, contributes exceptional programming expertise that transforms these specialised requirements into functional, efficient systems.
PatentBee is not only technically robust but also precisely tailored to the specific needs of biotech and pharmaceutical patent processing, resulting in a solution that truly understands the industry it serves.​​
​​​
Laurence Aitchison, Cantab (BA, MSci,), PhD
​​
​Laurence is the lead AI and coding architect at PatentBee with a strong academic background in AI. Laurence specialises in large language models, including self-improving agents, Bayesian fine-tuning, and scalable pre-training techniques. Laurence's research has been recognised in the three top machine learning conferences: NeurIPS, ICML, and ICLR, with over 3000 citations.
Laurence's technical leadership ensures PatentBee delivers patent drafting solutions that are not just innovative but also practical, reliable, and tailored to the unique requirements of intellectual property protection.
​
As a Lecturer (US Assistant Professor) at the University of Bristol, Laurence leads research at the intersection of machine learning and artificial intelligence. Whilst his current focus is LLMs, Laurence's academic journey includes significant contributions to probabilistic and Bayesian machine learning, as well as computational neuroscience (PhD at the prestigious Gatsby Unit, UCL).
​​