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I am a patent trainee and hold a PhD in Mathematics from the University of Oxford. My PhD was focused primarily on stochastic analysis motivated by biological process and so I have taken a keen interest in artificial intelligence (AI) and machine learning (ML) techniques which often find motivation from nature. Following my DPhil I had the opportunity to work with AI/ML methods and large datasets for a wide range of industries as a Mathematical Consultant. As a patent trainee, I look forward to being able to continue learning about and working to protect innovations at the cutting-edge of this fascinating field.
AI continues to defy all expectations in what it can achieve, for example AI art has undergone a revolution in a very short space of time, no longer showing the telltale additional fingers when generating images of people. With continued increases in availability of data there almost feels like there is no limit to the applications and potential of AI/ML techniques. However, significant pitfalls exist in relation to underlying biases in training data, explainability, robustness, accountability, and trust. I am excited to learn where our clients will innovate next and how cutting-edge inventions and innovation address the challenges that arise from each new application.