Extending capability through human-machine intelligence

I am a Computer Scientist and Chartered Psychologist. I design how human and machine intelligence operate and make decisions together in real-world systems. As machines become more capable and more embedded, we over-rely on them because they appear more certain than they are, and we stop designing for human judgment once the machine is in the room. I work on that problem across three areas::

Emerging Technology: AI safety and alignment, autonomous systems, brain-computer interfaces, quantum computing, robotics.

Critical Operations: Intelligence analysis, adversarial decision modelling, cognitive security, human-machine teaming, cyber, decision support, clinical decision-making, patient behaviour, space operations.

Civilisation-Scale Problems: Climate, pandemic response, off-world governance, civilisational resilience, catastrophic decision-making.

Breakthrough technologies fail from flawed decision architectures and misaligned human-system integration.

Most systems fail because cognition is not correctly distributed between humans, machines, and the artefacts they share. The failure happens in the interaction between them, in real workflows, with real teams. The decision architecture was never designed for how humans and machines actually work together.

The common thread is modelling intelligence in context, where the stakes are high, the data is incomplete, and the thing you are modelling may be actively working against you. When you build for that:

  • AI systems can model how humans behave, including when they're trying to deceive the system.

  • Intelligence operations work because analysts process uncertainty correctly.

  • Space missions hold because crew decision-making doesn't break under isolation and stress.

  • Quantum systems become usable because humans can trust outputs they cannot intuitively verify.

  • Preventive interventions scale because patients trust and act on machine-assisted guidance, shifting behaviour at population level.

  • Climate interventions land because they are designed to shift behaviour at civilisation scale.

The Work I’ve Led

    • Decision Architecture for AI and Autonomous Systems I design how humans and machines make decisions together. Who decides what, when, with what information, and what happens when it goes wrong. I've done this for AI systems, robotics, autonomous platforms, and intelligence tools.

    • Research Labs for Emerging Technology I build research labs that work on technologies before they exist. I've done this for IoT, cloud infrastructure, intelligent systems. Now I'm focused on brain-computer interfaces, space operations, and quantum.

    • Behavioural Intelligence for Critical Systems I build teams that model how adversaries think, how operators fail under pressure, and how institutions resist change. Then I design systems that account for all three.

    • Genomics England Led the product, technology and strategy function for the national programme integrating genomic data into clinical pathways. Oversaw the decision support systems, research services and complex analytics pipelines used by clinical scientists to diagnose and guide treatment for rare disease and cancer.

    • QuantumBlack / McKinsey Led AI transformations at scale across pharma, automotive, smart cities, space and government. Built new businesses, identified new markets and delivered automation and AI at scale across sectors, leading teams building innovative solutions for human-machine decision making.

    • HP Labs Led research at the original tech research lab in Palo Alto. Built and led teams working on IoT, cloud infrastructure, and intelligent systems before these categories existed. Hold three patents. Built precursors to ubiquitous computing, social photo networks, and cloud connected devices in the early 2000s, more than a decade before they became mainstream.

    • Epilepsy Society Strategic oversight on AI, digital transformation, and behavioural systems in research and care.

    • Motionhouse Strategic oversight for an internationally touring digital dance company, across technology, creative growth, and organisational sustainability.

    • Rolls-Royce R2 Data Labs Strategic guidance on industrial AI and complex systems transformation, connecting early-stage capabilities to long-term market advantage.

    • IVM Advisory to early-stage ventures in deep tech, climate, biotech, and energy.

About Me

Computer scientist and Chartered Psychologist. 25 years working on one problem: intelligence, human, machine, and the critical interface between them.

I hold three patents. I have coded systems, programmed hardware and software, built and shipped products. I started in Silicon Valley in 2000 building what didn't exist yet.

I studied computer science and psychology together in the mid-90s because I saw what was coming: that the future would be defined by how these two forms of intelligence interact, collaborate, compete, and combine.

Two decades later that conviction has held. I have applied it to genomics, AI, autonomous systems, and large-scale transformation in high-stakes environments, always in service of two questions:

  1. How do you build human-machine systems that help humans make better decisions when the stakes are high and the margin for error is small?

  2. Which problems will matter in 100 years, and what do we need to build now to solve them?

The Arc

  • Research: PhD research in medtech, robotic surgery, informatics

  • Inventing Human + Machine Intelligence: HP Labs

  • Building Products + Scaling Organisations: MOO, Travelex

  • Strategic Futures + Physical AI: QuantumBlack/McKinsey, Plan Strategic

  • C-Suite Leadership: Genomics England

  • Exponential Tech: Space, defence, intelligence

I write and speak on the intersection of technology and psychology.

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