I develop and apply principled artificial intelligence, machine learning and agent-based approaches 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 environmental monitoring, and typically involves the real-world deployment of novel approaches in devices, smartphones or the cloud.
I am the co-founder of a home heating advice spin-out, called Joulo, that combines a unique low-cost temperature logger with cloud-based analytics. I maintain the GridCarbon app for monitoring the carbon intensity of the UK electricity grid. I am searching for the New Forest cicada using smartphones and I am developing a low-cost, open-source, acoustic logger, called AudioMoth, for environmental and biodiversity monitoring.
I originally studied Physics at Durham University before joining Schlumberger as a wireline logging engineer. After five years working in various oilfields around the world I took suspended employment to study for a PhD applying statistical physics to models of evolving populations. Upon completing my PhD I worked for a spin-out from the Santa Fe Institute applying complexity science to business problem before returning to academia, initially at the University of Southampton, and now at the University of Oxford.