I speak at conferences, universities, and professional organisations about artificial intelligence in health professions education and clinical practice. My talks aim to help audiences make sense of this moment — what AI actually means for how we teach, learn, and practise.
Watch a recent talk
This is a talk I gave at the ADAPT conference in late 2025. In it I argued that generative AI is widening access to expertise, and in doing so threatens the privileged role of universities as gatekeepers of professional knowledge. As AI becomes more capable of applying knowledge to solve problems and communicate complex ideas, it starts to function as an expert mentor — “expertise on demand” that makes learning personalised, contextualised, and cheap, independent of formal degree programmes.
I take the common criticisms seriously — bias, inaccuracy — but argue that AI is improving on these fronts, already has advantages over humans across a growing range of specialised tasks, and is becoming embedded across every kind of software and platform, providing intelligence wherever it’s needed.
Where universities have historically controlled access to the expertise that many careers require, AI democratises it: anyone can learn from a personalised disciplinary expert, teacher, or mentor. New approaches will emerge around AI-assistance, project-based learning, and authentic assessment, and universities will lose their monopoly on accredited learning as cheaper alternatives appear.
The response, I suggest, is to raise our expectations for what education can be now that learners can partner with capable AI. Rather than using it to write better essays, learners can build businesses, community projects, marketing campaigns, and products. Formal professional education may soon look very different in a world where expertise is abundantly available to everyone.
Upcoming talks
AI in school-based occupational therapy practice
TBD (May–July 2026) · AI in OT Summit, OT Schoolhouse — Online
An invited session for school-based occupational therapists on AI in clinical practice and practice management, tailored to educational settings. Topics include clinical judgement and professional responsibility when using AI in schools, documentation and workflow during IEP seasons, and ethical considerations in educational environments.
AI in physiotherapy education and research
4 September 2026 · South African Society of Physiotherapy Symposium — Online
An invited panel discussion at the SASP Symposium 2026 in Johannesburg on AI and the future of physiotherapy practice. The panel includes two medical doctors sharing clinical AI use, with this contribution focusing on AI in physiotherapy education and research. Online participation from the UK.
Context sovereignty: Building human-AI coalitions in physiotherapy
24 September 2026 · Association of Trauma and Orthopaedic Chartered Physiotherapists conference — London
An invited presentation for the ATOCP session at the BOA Annual Congress 2026 at Olympia, London. As AI systems become more capable at diagnosis, empathy, and clinical reasoning, practitioners who control their context more effectively will also control the meaning of their AI interactions. The therapeutic relationship will transform into negotiation between patient-AI and clinician-AI coalitions, requiring ongoing work to bring context to practice.
Masterclass: AI in private physiotherapy practice
24 October 2026 · Canadian Physiotherapy Association, Private Practice Education Committee — Online
A four-hour practical masterclass for private practice clinicians across physiotherapy, occupational therapy, osteopathy, and allied health on applying AI in clinical and business contexts. Covers practical activities and real workflows rather than theory, including AI for clinical communication, documentation, professional content creation, and business tasks, alongside guidance on evaluating different AI platforms and ethical and safe AI use. 12:30–4:30pm EDT.
Partner or foe? The rising role of AI in nursing and allied health practice
30 October 2026 · Sidra Medicine — Online
An invited talk for Sidra Medicine on the role of AI in nursing and allied health practice: where AI genuinely supports clinical work, where it falls short, and how practitioners can engage with it as a professional tool rather than treating it as either saviour or threat.
Past presentations
AI and the learning alignment problem
11 June 2026 · Global Research Nursing Education Network — Online
An invited keynote webinar for GRNEN’s international network of nursing educators, primarily from the US, Canada, and Africa. AI has exposed a longstanding misalignment between what educational systems measure and what they are meant to develop — optimising for measurable proxies like grades and artefacts rather than authentic developmental outcomes like judgement and professional becoming. The session explored what that misalignment means for nursing education design, and how shifting from control to cultivation can ensure AI becomes a partner in professional growth rather than a shortcut around it.
The use of AI within health and social care
11 June 2026 · National Back Exchange Moving and Handling Awareness Day — Online
An open webinar for the National Back Exchange’s annual awareness day, accessible to members and non-members. Designed for a broad audience — nurses, occupational therapists, physiotherapists, and moving and handling specialists — the session offered a practical and accessible introduction to AI in health and social care: what generative AI is, how it works, and what it can and cannot do in practice, alongside current and emerging applications, implications for professional roles, and how practitioners can engage with AI as a professional tool.
What is the work? Rethinking learning and assessment in an age of AI
9 June 2026 · Best Practices in Education Rounds — Online
Invited presentation for the monthly BPER series, co-hosted by the University of Toronto Centre for Faculty Development, The Wilson Centre, and the Centre for Interprofessional Education — an open session drawing 100+ attendees from across health professions education. The talk asked what generative AI does to the relationship between assessment and the learning it is meant to evidence, and what educators should treat as the real work now that AI can produce fluent artefacts.
AI in clinical practice and making sense of this moment
13 May 2026 · Musculoskeletal Association of Chartered Physiotherapists — Online
An invited lecture for MACP members merging practical AI integration with a philosophical sense-making framework: how AI tools support clinical decision-making, documentation, and patient communication, and what this moment actually means for the health professions — for expertise, judgement, and human contribution when machines can generate fluent text and pass clinical assessments.
Beyond the dataset — AI and the future of research
24 April 2026 · Physiotherapy Research Society Annual Conference — Online
Keynote for the 44th PRS Annual Conference, themed “Beyond the Dataset: Engaging People, Powering Change.” The thesis is the artefact; the researcher is the product. AI can now execute much of the work through which doctoral researchers have traditionally formed their expertise. The talk explores the different relationships researchers build with AI, asks which struggles are formative and which are merely tedious, and argues that as AI becomes more capable, specifically human contributions — research taste, evaluative judgement, and the capacity to set direction — become more valuable, not less.
A fuller list of past presentations, with slides and abstracts where available, is on the presentations page.
Topics I speak about
AI in health professions education
How should we teach when students have access to AI? What does AI mean for assessment, clinical reasoning development, and professional identity formation? What should students learn as AI increasingly develops sophisticated expertise within and across professional domains? These questions don’t have settled answers yet, but educators can’t wait for consensus before working on the issues. I explore practical approaches for curriculum design, administrative support, assessment redesign, and pedagogical decision-making that help educators navigate this transition with confidence rather than anxiety. Talks in this area are grounded in health professions education theory and draw on concrete examples from medicine, nursing, physiotherapy, and other allied health professions.
AI for researchers
Using AI as a thinking partner for literature review, analysis, writing, and research design — not as a shortcut, but as a cognitive collaborator that amplifies scholarly judgement. This includes practical guidance on integrating AI into systematic review workflows, qualitative analysis, grant writing, and manuscript development, alongside honest discussion of the risks: hallucination, bias, and the erosion of deep reading habits. Aimed at researchers at any career stage who want to work more effectively without compromising intellectual rigour.
AI in clinical practice
How do AI tools support clinical decision-making, documentation, and patient communication? How should practitioners evaluate and integrate these tools while maintaining professional responsibility and patient safety? How are patients starting to bring AI agents into their own health contexts, and how does this influence the therapist-patient relationship? I look at the evidence around AI-assisted diagnosis and decision support, how to critically appraise AI tools before adopting them, and what practitioners need to understand about the limitations of systems trained on data that may not reflect their patient population or clinical context.
AI and practice management
Practical applications of AI in healthcare administration, workflow optimisation, and service delivery, with an honest assessment of what works, what doesn’t, and what the implementation challenges look like on the ground. This includes scheduling, documentation, administrative support, patient communication, and service planning, with attention to the organisational change management that determines whether AI adoption actually improves practice or just adds complexity.
Making sense of this moment
More theoretical and philosophical talks exploring what AI means for the health professions. How do we understand expertise, judgement, and human contribution when machines can generate fluent text and pass medical exams? What happens to the value of experience and tacit knowledge when AI can simulate competence? These talks help audiences develop frameworks for thinking about AI at wider scales rather than just reacting to it, grounding the conversation in the history and values of the professions rather than in technology hype.
Get in touch
If you’re interested in having me speak at your event, run a workshop, or facilitate a session, I’d be happy to discuss how I might contribute.
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