I'm a human-computer interaction researcher studying the responsible design of AI technology to benefit people. Working in inter-disciplinary teams, I follow a human-centered approach to the end-to-end development of novel AI applications and systems. Currently, I'm a Senior Researcher in the Biomedical Imaging team within Microsoft Health Futures, based at Microsoft Research Cambridge, UK. My research explores innovative approaches for applying AI and Machine Learning in real-world healthcare contexts. Specifically, my work investigates AI use in radiology workflows to improve patient outcomes through the development of clinically useful, interpretable and actionable ML insights. More broadly, this work enables me to define strategy and processes that ensure AI technology is developed safely and responsibly. Working as part of Microsoft's Aether working groups and with members of the Office of Responsible AI (ORA), a key focus of my work is the development of tools and other resources to drive forward the adoption of responsible AI practices; to advance public understanding, and to inform AI policy. This includes educational materials to appropriately communicate AI capabilities and limitations to end-users, and for considering wider socio-technical implications of AI use. Past projects at Microsoft include: >> Project Talia, which investigated the use of ML models to improve the quality of care delivered through online psychotherapy programs. >> Project Tokyo that developed an interactive, computer-vision based system to extend the capabilities of people who live with vision impairments. >> Project Torino, and its commercialized counterpart Code Jumper, a collaborative learning environment for teaching children how to code independent of their visual abilities. >> Disruptive Displays, a research project that explored alternative approaches to designing and configuring digital displays (as a material that can be cut, folded, and externally imaged). Previous to my position at Microsoft, I was a Research Associate in the Digital Interaction group (now called Open Lab) at Newcastle University. My PhD research investigated how technology can meaningfully support the mental health and wellbeing of hospitalized women who lived with significant mental health problems (Spheres of Wellbeing).
Research Areas Human-Computer Interaction Responsible AI Human-Centered ML Inclusive Design Research Ethics & Governance Mental Health and Wellbeing
20th September 2022 - IEEE Pervasive Computing paper accepted, entitled Pervasive Therapy: Designing Conversation-based Interfaces for Ecological Momentary Intervention.
19th September 2022 - Microsoft Research Blog: AI Models vs. AI Systems: Understanding Units of Performance Assessment.
15th September 2022 - I'll be giving a keynote on Machine Learning in Mental Health at UbiComp/ISWC's 2022 WellComp workshop.
25th August 2022 - TOCHI paper accepted on: Designing Human-Centered AI for Mental Health: Developing Clinically Relevant Applications for Online CBT Treatment.
26th July 2022 - CUI 2022 paper published: Beyond Subservience: Using Joint Commitment to Enable Proactive CUIs for Mood Logging.
16th July 2022 - I'll be joining the program committe of the 5th International Workshop on Computing for Well-Being (WellComp) at UbiComp/ISWC 2022.