About Me

I am a Senior Researcher in Trustworthy Systems at the Alan Turing Institute. I lead the Innovation and Impact Hub for the Turing Research and Innovation Cluster in Digital Twins.

In general, I think of myself as an interdisciplinary researcher who is passionate about a wide variety of topics and their intersections. Admittedly, this creates complications in academic circles, as people typically want to place others inside neat departmental boundaries. However, it really doesn't do a good job of capturing my interest or expertise.

For instance, I enjoy reading philosophy as much as writing Python, and detailed data analysis as much as designing skills workshops. My curiosity also ranges from empirical studies of human decision-making to the complex networks of large language models. In short, the following phrase resonates well with how I see myself:

A jack of all trades is a master of none, but oftentimes better than a master of one.

Research Areas

Trustworthy and Ethical Assurance

Research into assurance techniques and methods to ensure AI systems are trustworthy and ethical.

Digital Twinning

Designing and governing virtual representations of physical systems, such as cardiac digital twins.

Participatory Design

Ensuring responsible research and innovation practices, such as open science and public engagement, are core parts of the scientific process.

AI and Data Ethics

Examining the ethical and societal implications of data-driven technologies, such as machine learning and artificial intelligence.

Philosophy of Cognitive Science

Exploring the philosophical foundations of mind and cognition, and applying it to novel areas such as large-language or foundation models.

Research Impact

I strongly believe that addressing major societal challenges requires deep collaboration. As such, my research connects theory with practice to achieve tangible and meaningful outcomes. This approach has led to direct contributions to public policy, including work featured in the UK Department for Science, Innovation, and Technology's (DSIT) Introduction to AI Assurance framework.

This belief also drives the creation and application of free and open-source resources like the Trustworthy and Ethical Assurance (TEA) Platform. This methodology is now integral to major initiatives such as the £8.8M EPSRC-funded CVD-Net project, where I co-lead the work package focused on assurance, engagement, and ethics. Additionally, the Turing Commons project I co-founded, provides valuable educational resources for responsible innovation as one of two strategic skills project for the Alan Turing Institute's Turing 2.0 strategy.

Furthermore, my work fosters consensus and shared practice within key technology domains. This includes leading the Special Interest Group on Uncertainty and Trust for the UKRI Digital Twin Network+ and co-authoring influential papers, such as the Trustworthy and Ethical Assurance of Digital Twins report, which was developed collaboratively with several partners and organisations to help operationalise assurance principles within the UKs digital twinning community.

Current Projects

Networks of Cardiovascular Digital Twins (CVD-Net)

Co-Investigator for work package 6 of the EPSRC-funded project, CVD-Net, building connected digital twins of patient's hearts.

Trustworthy and Ethical Assurance Platform

Project Lead for the TEA Platform—an online, community-centred platform for enhancing skills and capabilities in AI assuranc.

Uncertainty and Trust Special Interest Group (DTNet+)

Lead of the Uncertainty and Trust Special Interest Group (SIG) for the UKRI Digital Twin Network+.

Turing Commons

Co-founder and co-lead of the online skills and training platform for responsible data-driven technology practices.

Past Projects

Trustworthy and Ethical Assurance of Digital Twins (TEA-DT)

Principal Investigator for the UKRI BRAID-funded project, developing and validating the open-source TEA Platform for trustworthy and ethical digital twin development.

Innovation and Impact Hub (TRIC-DT)

Leading of the Innovation and Impact Hub, coordinating the scientific aims across natural environment, health, and infrastructure themes, and managing an interdisciplinary team of research infrastructure roles.

Trustworthy and Ethical Assurance of Digital Health and Healthcare

PI for a collaborative project between the Assuring Autonomy International Programme (University of York) and the Alan Turing Institute, harmonising ethical assurance research. Primary focus was on fairness in digital healthcare using the TEA platform.