I originally studied Physics at Durham University before working in the oil industry as a field engineer. I got to travel and work in some amazing places, including rain forests in Indonesia, deserts in the Middle East, and offshore in the North Sea. I’d always wanted to continue my studies so eventually left the oil industry, returning to academia to do a PhD in computer science. My research now focuses on using artificial intelligence and machine learning within physical sensor systems to address real-world problems focusing on sustainability. My recent work has addressed future energy systems, such as the smart grid, citizen science platforms, and how we can use low-cost physical sensors to monitor the environment.