I have an interest in how to support safety and trust at scale when designing technologies for safety-critical contexts and applications. My work is deliberately multi-disciplinary, uses a mix of qualitative and quantitative methods, and aims to connect theory to practice in ways that are likely to be useful in real-world R&D contexts. In particular, I focus on new or rapidly evolving technologies (e.g. artificial intelligence), and how the interactions between human and technological components of any system are likely to impact safety and security considerations in diverse contexts.
In recent years, my work has skewed towards non-traditional outputs, including the Algorithmic Futures Podcast, the Algorithmic Futures Policy Lab, and various cross-disciplinary educational and strategy outputs.
I have also had the honour of supervising a number of PhD students over the years, and am currently serving as primary supervisor for students leading projects on human-machine collaboration in intensive care medicine (Amir Asadi), trustworthy autonomous vehicle design for Nigerian contexts (Memunat Ibrahim), and accent bias in voice datasets (Kathy Reid).
In my current role, I am also reinvigorating work on nuclear technologies and their many applications – both as a means of supporting student research and connecting some of my past work in nuclear physics with my present role in a school focused on systems engineering.
If any of this sounds interesting to you, visit my about page or my institutional research profile and send me a message.