Ka Lon Sou

Digital health innovation lead with 5+ years translating age-friendly AI products from concept to community deployment in Singapore. Experienced in requirements gathering, feature scoping, engineering coordination, user testing, stakeholder partnerships and programme evaluation. Contributed to ~S$1.65M in funding and engaged 225+ older adults across Active Ageing Centre studies.

Research Fellow — Product & Implementation Lead, Age-Friendly AI at Singapore University of Technology and Design (2020-01 – Present)

Leading digital health innovation projects focused on age-friendly AI products, including the Ami Platform and Ami Chat. Coordinating multi-site community implementation and managing cross-functional teams.

• Led integration of cognitive-training games and AI chatbot into a unified age-friendly mobile app; translated older-adult needs into product requirements and testing cycles.
• Ran implementation pilot; used continuation intention (67%) and user feedback to guide refinements, with subsequent continuation intention reaching 79%.
• Coordinating multi-site community implementation with 75+ older adults across Active Ageing Centres to evaluate user experience, adoption, wellbeing outcomes and willingness to pay.
• Led prototype development: scoped features, gathered requirements, aligned engineering team and coordinated iterative user testing.
• Designed and ran UX study with ~140 older adults across Active Ageing Centres, generating evidence on facilitators, barriers, intention to use and product suggestions.
• Advised ML team on analysis of chatbot conversation signals for cognitive impairment detection; coordinated across PIs, industry partners, community organisations and funders.
• Supported translation of a dual-language cognitive-training intervention into community deployment at large-scale Active Ageing Centres.
• Co-authored peer-reviewed randomised controlled trial demonstrating memory improvement in older adults, providing evidence for real-world implementation.
• Managed 1–4 assistants/interns across concurrent product and implementation projects.
• Tracked Ami Chat/Ami Platform budgets; allocated resources and reported expenditure.
• Coordinated recruitment, onboarding and data collection across community sites and partners.
• Analysed quantitative and qualitative user, adoption and outcome data.
• Wrote up findings for academic publications and funding reports, including Ami Platform findings for industrial funders.
• Represented the PI in working-level meetings with funders, industry and community partners.
• Facilitated 4+ AI workshops for older adults to support adoption and digital confidence.

PhD in Psychology – Nanyang Technological University (2020)

MSc in Psychological Studies – University of Glasgow (2014)

BEng (Hons) in Biomedical Engineering – Chinese University of Hong Kong (2013)