Ben’s experience includes drafting and prosecuting patent applications in a variety of technical fields including image processing, signal processing, payment processing, acoustics, and blockchain. He has technical expertise in machine learning methods including Gaussian processes, reinforcement learning, and neural networks. Ben has also been involved in opposition proceedings before the European Patent Office.
Prior to joining EIP, Ben completed a PhD in Applied Mathematics at Imperial College London, having previously spent four years teaching physics and maths at a private college. The focus of his PhD research was on developing analytical techniques, based on the tools of asymptotic analysis, for studying guided waves and resonant effects in periodic and quasi-periodic structures. Ben’s work has been published in various academic journals and he has presented at national and international conferences on a range of topics in applied mathematics.
Ben achieved a distinction in his MSc in Applied Mathematics at Imperial College London, and he holds a first class BA in Physics from Oxford University, where he was awarded a scholarship for his academic performance.