Dr Marisol Basilio

Contact information

184 Hills Rd
United Kingdom

Research interests

I am a developmental psychoogist interested in using data science to accelerate research in early childhood. I am particularly interested in the challenges related to direct measurement of of cognitive and communication skills in preverbal children, and how can data science helps us move form small studies to large scale longitudinal research.
I am also interested in applying machine learning models to large longitudinal datasets (such as as the British Cohort studies) to predict children's educational attainment and wellbeing in school from early childhood experiences and indicators organised within an ecological framework: including physiological, individual, family, previous education, community, and cultural systems.
I have experience leading research with preverbal children, behavioural coding, creation of novel behavioural indicators of cognitive skills in early development, parent-child interactions, research in educational settings, and quantitative analysis of large scale longitudinal data.
I am committed to uphold the values and practices of open reproducible science as understood in The Turing Way (https://the-turing-way.netlify.app/welcome). Although I am at the beginning of my journey in this area, I have developed experience with GitHub, R Markdown, Stata and ELAN (open source software for behavioural and linguistic coding).


Data science, Open data, Social science


Basilio, M. & Rodríguez, C. (2017) How toddlers think with their hands: social and private gestures as evidence of cognitive self-regulation in guided play with objects, Early Child Development and Care, 187:12, 1971-1986, DOI: 10.1080/03004430.2016.1202944

Neale, D., Basilio, M., & Whitebread, D. (2018). The Grasping Task: A 12‐month predictor of 24‐month delay task performance and BRIEF‐P inhibition scores. Infant and Child Development, 27(4), https://doi.org/10.1002/icd.2092.

Clarke, T., & Basilio, M. (2018). Do arts subjects matter for secondary school students’ wellbeing? The role of creative engagement and playfulness. Thinking Skills and Creativity, 29, 97-114. https://doi.org/10.1016/j.tsc.2018.06.005

Rodríguez, C., Moreno-Núñez, A., Basilio, M., & Sosa, N. (2015). Ostensive gestures come first: their role in the beginning of shared reference. Cognitive Development, 36, 142-149.

Pino-Pasternak, D., Basilio, M., & Whitebread, D. (2014). Interventions and classroom contexts that promote self-regulated learning: Two intervention studies in United Kingdom primary classrooms. Psykhe, 23(2), 1-13.

Whitebread, D., & Basilio, M. (2012). The emergence and early development of self-regulation in young children. Profesorado, Revista de Currículum y Formación del Profesorado, 16(1), 15-34.

Basilio, M., & Rodriguez, C. (2011). Private uses, gestures and vocalizations: From social interaction to self-regulation. Journal for the Study of Education and Development, 34(2), 181-194.

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science research community 
  • Builds research capacity in data science to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Acts as a gateway for external organisations 

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