I am an engineer working on Physical AI, applying machine learning to science, engineering, and other complex real-world systems.

I studied Engineering at the University of Cambridge, specialising in Electronic and Information Engineering, before completing a PhD in clinical Machine Learning and Biomedical Photonics. My doctoral research focused on AI-enabled optical technologies for the minimally invasive detection of cancer, taking the work through to early clinical investigation.

Today I divide my time between Silicon Valley and Oxford. I hold an O-1A US visa for extraordinary ability in AI and biotech, allowing me to work across both ecosystems. I lead AI and machine learning at Becoming, a frontier tech-bio lab based in San Francisco. I am also a Visiting Research Fellow in theDepartment of Engineering Science at the University of Oxford. Alongside this, I contribute to the UK’s AI and research ecosystem through roles including HMRC’s AI Expert Advisory Panel on R&D, the UKRI College of Experts, and the Royal Academy of Engineering Leverhulme Fellowships Steering Group. I also lead the Frontier AI track for the Innovate UK Venture Builder pilot.

As a Chartered Engineer (CEng) and European Engineer (EUR ING), I am particularly interested in bridging the velocity and ambition of Silicon Valley with the engineering rigour of the UK and Europe. I believe the next generation of Physical AI will require not only advances in machine learning, but also the reliability, systems thinking, and responsible engineering that have long underpinned safety-critical disciplines.

Alongside my technical work, I have founded and helped scale ventures in both the United Kingdom and the United States, including Massless. I have been supported by programmes including the Royal Academy of Engineering Enterprise Fellowship,  Judge Business School,  HF0, and Entrepreneurs First, and am named as an inventor on multiple patents. Increasingly, I work across academia, industry, government and venture to help strengthen the UK’s deep technology ecosystem and accelerate the translation of frontier research into real-world impact.

My work spans biotechnology, advanced materials, scientific machine learning, and AI infrastructure, united by a common interest in building intelligent systems that interact safely and effectively with the physical world.

Outside engineering, I am fascinated by exploration and by the challenge of operating safely in environments where uncertainty cannot be eliminated. This has taken me from exploring previously unmapped cave systems in the Austrian Alps with the Cambridge University Caving Club to ski mountaineering, ice climbing, and flying as a qualified paraglider and speedflying pilot. These experiences continue to shape how I think about engineering: ambitious progress into the unknown, through careful preparation and understanding, managing risk deliberately, and building systems that remain dependable when reality differs from the plan.