Desiree is a MSc student at the University of Oxford (Oxford Internet Institute) and a recent first-class honours graduate from the BSc in Psychology at UCL, where she attained a Best First-Class in her final-year dissertation on improving well-being through technology (human-computer interaction). She currently investigates science communication using social media data, focusing on public understanding of emerging digital technologies such as AI. She has a particular research interest in understanding this in the context of child digital well-being and safety. She is a methodological enthusiast with experience in a variety of approaches. Her computational expertise includes data scraping, surveys, statistical analysis, and data science techniques such as network science. She is also well-versed in qualitative methods, particularly as they relate to the analysis of user data.
Her broader research interests lie at the intersection of social science and technology. She has been a research assistant at multiple interdisciplinary labs, and her experience includes conducting mixed-methods user research. In that capacity, she co-authored a paper at the ACM CHI’23, widely considered the most prestigious conference in the field of human-computer interaction. She has extensive experience leading and collaborating on digital projects, and has assisted with the organisation of AI forums such as the Oxford Generative AI Summit 2023 and Human-AI Workshop (University of Oxford) 2024. She is passionate about contributing to the Oxford community, exemplified through her leadership roles as a veteran academic representative, and captain of the OUAFC (Football) Women’s Development Squad 2024-25. She also supports causes close to her heart, such as being a fundraising runner for the Oxford Children’s Hospital.
Science Communication, Public Understanding of Emerging Technologies, Child Digital Well-being and Safety, AI Governance, Computational Social Science.
