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 Health 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
19th July 2021 - I'll be returning to work after a period of parental leave.
4th June 2021 - DIS 2021 paper accepted: "I wrote as if I were telling a story to someone I knew.": Designing Chatbot Interactions for Expressive Writing in Mental Health.
14th + 15th May 2021 - CHI 2021 workshop on: Rethinking the Senses: Multisensory Embodied Experiences & Disability Interaction.
11th May 2021 - ToCHI talk @ CHI 2021: Machine Learning in Mental Health: A Systematic Review of the HCI Literature to Support Effective ML System Design.
27th April 2021 - Interactions article accepted: PeopleLens.
2nd March 2021 - Last years CHI interactivity will be featured @CHI 2021: A Dynamic AI System for Extending the Capabilities of Blind People.
14th December 2020 - CHI 2021 paper accepted: Social Sense-making with AI: Designing an Open-ended AI Experience with a Blind Child.