Teaching ✦
My lecture series on thinking critically about AI in healthcare. Six lectures covering what AI actually is, why it fails patients, how to govern it, and what it should be designed to do. All lectures are freely available to watch, with shareable slides.
Beyond the Hype: Thinking Critically About AI in Healthcare
Despite millions being spent on the development, deployment, and use of healthcare AI, it is failing to generate a justifiable return on investment at scale. This course argues that the problem is systemic: we have been asking the wrong questions, optimising for the wrong targets, and governing with the wrong tools. Across six lectures, it builds a case for rethinking what health AI should be designed to do and how we should be governing its use. You can find recordings of each lecture, along with the slides and the references for each, below.
Other Teaching & Mentorship ✦
Faculty Member, AI in Medicine Distinction Pathway, Yale University
Workshop Co-Organiser, MIT-Yale: Co-designed and ran the HASTE (Health AI: Science, Technology, and Ethics) workshop for an interdisciplinary cohort of undergraduates, graduate students, and faculty
OpenSAFELY: Co-designed and co-taught a training course on health data science, covering technical, ethical, and governance aspects
Lecturer & Seminar Leader: Delivered lectures and seminars at Oxford, Cambridge, Yale, Warwick, and Exeter on digital ethics, AI governance, and data policy
Research Supervision & Mentorship: Regularly supervise and mentor discrete research projects with students and junior colleagues at all levels
Interested in having me guest lecture or co-design a workshop? Get in touch. ✨