2022- Present – Extraordinary Lecturer in the Institute for Life Course Health Research, Department of Global Health, Stellenbosch University, South Africa.
I run the following project Identifying and Measuring Playful Parenting Using Machine Learning | Global Parenting Initiative (GPI) ( funded by the LEGO Foundation.

2015-2022 – Goldsmiths, University of London, Lecturer and Director of Goldsmiths Infantlab.

2010-2011 – University of Burgundy, Postdoc

2001-2015 – Birkbeck, University of London, BSc, PhD, Postdocs and Lectureship

Open Science

Code –

Videos – Caspar Addyman – YouTube


This list is fairly accurate. But you’re probably better off looking at my Google Scholar page. If you would like a copy of anything, let me know.

Stamate, D., Haran, R., Rutkowska, K., Davuloori, P., Mercure, E., Addyman, C., & Tomlinson, M. (2023). Predicting High vs Low Mother-Baby Synchrony with GRU-Based Ensemble Models. In L. Iliadis, A. Papaleonidas, P. Angelov, & C. Jayne (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2023 (pp. 191–199). Springer Nature Switzerland.

Rocha, S., & Addyman, C. (2022). Assessing Sensorimotor Synchronisation in Toddlers Using the Lookit Online Experiment Platform and Automated Movement Extraction. Frontiers in Psychology, 13, 897230.

Addyman, C. (2020). The Laughing Baby: The extraordinary science behind what makes babies happy. Unbound Publishing.

Siljebråt, H., Addyman, C., & Pickering, A. (2018). Towards human-like artificial intelligence using StarCraft 2. Proceedings of the 13th International Conference on the Foundations of Digital Games  – FDG ’18, 1–4.

Addyman, C., Fogelquist, C., Levakova, L., & Rees, S. (2018). Social Facilitation of Laughter and Smiles in Preschool Children. Frontiers in Psychology, 9(1048).

Addyman, C., & Mason, L. (2016). Researching cognitive development in infancy. In J. Prior & J. Van Herwegen (Eds.), Practical research with children. Routledge.

Addyman, C., French, R. M., & Thomas, E. (2016). Computational models of interval timing. Current Opinion in Behavioral Sciences, 8, 140–146.

French, R. M., & Addyman, C. (2016). Practical Replication, Not Formal Reproducibility. 13(2), 9.

Fautrelle, L., Mareschal, D., French, R. M., Addyman, C., & Thomas, E. (2015). Motor Activity Improves Temporal Expectancy. Plos One, 10(3), e0119187.

French, R. M., Addyman, C., Mareschal, D., & Thomas, E. (2014). Unifying Prospective and Retrospective Interval-time Estimation: A Fading-gaussian Activation-based Model of Interval-timing. Procedia – Social and Behavioral Sciences, 126, 141–150.

Addyman, C., & Mareschal, D. (2014). GAMIT-Net: Retrospective and prospective interval timing in a single neural network. Proceedings of the Annual Meeting of the Cognitive Science Society, 36(36). [Paper and code]

Addyman, C., & Addyman, I. (2013). The science of baby laughter. Comedy Studies, 4(2), 143–153.

Thomas, M. S. C., Baughman, F. D., Karaminis, T., & Addyman, C. (2013). Modelling developmental disorders. In Current issues in developmental disorders (pp. 93–124).

Addyman, C., & Mareschal, D. (2013). Local Redundancy Governs Infants’ Spontaneous Orienting to Visual-Temporal Sequences. Child Development, 84(4), 1137–1144.

Addyman, C., & French, R. M. (2012). Computational Modeling in Cognitive Science: A Manifesto for Change. Topics in Cognitive Science, 4(3), 332–341.

Addyman, C., & Mareschal, D. (2010). The perceptual origins of the abstract same/different concept in human infants. Animal Cognition, 13(6), 817–833.

Addyman, C. (2009). Rules and Similarity in the Development of Category Learning in Children and Infants [PhD, University of London]. [PhD as Pdf]