I'm a human-computer interaction (HCI) researcher with a background in social psychology and experience-centred design. I create and study novel applications and interaction techniques that can positively transform people's social and emotional lives – independent of socio-economic background, personal ability, or age. My work is highly collaborative, inter-disciplinary and places end-user participation and evaluation at its core. Currently, I'm a Senior Researcher in the Healthcare Intelligence group at Microsoft Research Cambridge. My research explores innovative approaches for applying AI and Machine Learning (ML) in real-world applications. More specifically, my current work (Project Talia) investigates how AI can become a useful vehicle in supporting the quality of care that is delivered through online psychotherapy programs. Taking a human-centred approach, I study how we can create (clinically) useful, interpretable and actionable ML insights that have the potential to improve the mental health outcomes of people who live with depression and anxiety; and can empower health professionals in their work practices. Related to this, I recently lead the organization of ACII workshop: Machine Learning for Affective Disorders. Past projects at Microsoft include: user research and interaction design in developing an assistive computer-vision based personal agent for people with vision impairments (Project Tokyo/ Extending Capabilities); the co-design and study of socially inclusive technology that enables collaborative learning experiences for children with mixed-visual abilities (Project Torino, and its commercialized counterpart Code Jumper); and research exploring alternative approaches to designing and configuring digital displays (Disruptive Displays). Previous to my position at Microsoft, I was a Research Associate at Newcastle University’s Culture Lab on the RCUK Digital Economy Programme funded project: Social Inclusion through the Digital Economy (SiDE). My PhD research investigated how technology can meaningfully support the mental health and wellbeing of hospitalized women who had significant mental health problems (Spheres of Wellbeing).
Research Areas Human-Computer Interaction Mental Health and Wellbeing Inclusive Design Human-Centered Machine Learning Design & AI Research Ethics
14th December 2020 - CHI 2021 paper accepted: Social Sense-making with AI: Designing an Open-ended AI Experience with a Blind Child.
2nd December 2020 - CHI 2021 workshop accepted: Rethinking the Senses: Multisensory Embodied Experiences & Disability Interaction.
25th September 2020 - I'll be taking a period of leave from work to welcome a new addition to the family.
5th September 2020 - Feature article in ACM Interactions: Interpretability as a Dynamic of Human-AI Collaboration
18th August 2020 - ToCHI paper published: Machine Learning in Mental Health: A Systematic Review of the HCI Literature to Support the Development of Effective and Implementable ML Systems
17th July 2020 - JAMA Network Open paper published: A Machine Learning Approach to Understanding Patterns of Engagement with Internet-delivered Mental Health Interventions
17th July 2020 - Microsoft Research Blog: A path to personalization: Using ML to subtype patients receiving digital mental health interventions
2nd July 2020 - Panel on Ethics of Assistive Technologies (We Need to Talk about AI)