Mavis is a social scientist with interests in understanding health and data-related inequalities. She obtained a PhD in Health Studies at King’s College London and combines expertise in research on health and genomic data governance, a midwifery background and her own lived experience navigating the health system. Mavis is particularly interested in questions about what data categorisation and data collection and data-driven systems can tell us about inequities and the experiences of different members of society. She currently works as a Senior Researcher at the Ada Lovelace Institute interrogating the data divide in data-driven systems. She is also co-founder of GeneticsEngage, a platform to encourage and engage in issues of diversity and inclusivity in genomics.
R for Health Data Science: from clinicians who code to Shiny interventions
27 May 2022 at 10:00 am
Riinu Pius will present on R for Health Data Science: from clinicians who code to Shiny interventions on Friday 27th May at 10:00 UK time. Please click here for more details and to register.
Data Access & Discovery – June
10 June 2022 at 11:00 am
Join us at the next Data Access and Discovery event on Friday 10 June at 11am. Theme: Reproducible Data Science The recent Goldacre review highlighted the importance of reproducibility in data...