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 (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). Previously 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
16th January 2020 - Accepted CHI 2020 paper: Understanding Client Support Strategies to Improve Clinical Outcomes in an Online Mental Health Intervention
11th January 2020 - Code Jumper wins CES 2020 Best-of-Innovation Award
9th December 2019 - Guest Lecture @ Bristol University on AI and Ethics: Towards Responsible AI Systems
1st November 2019 - Interactions Blog: Reflections on Mental Helath Assessment and Ethics for Machine Learning Applications.
10th September 2019 - I'll be on the discussion panel of UbiComp 2019 workshop Mental health: Sensing & Intervention.