Neo Poon

Neo is a behavioural data scientist. Currently a Senior Research Associate in the Medical School at the University of Bristol, his research focuses on consumer choices, public health, and sociopolitical behaviours. His doctoral research (PhD Behavioural Science at Warwick Business School) covered a range of topics related to human decision making and economic choices. Awarded Outstanding Doctoral Student, he also has teaching experience in statistics and behaviour economics that led to two awards. Neo is experienced in R, Python, SQL, Bash, and JavaScript (React).

Research Outputs:

  • Poon, N., Luckman, A., Isoni, A., & Mullett, T. L. (2023). A query theory account of the attraction effect. Cognition, 238, 105495.
  • Lee, H. A., Poon, N., Dolan, P., Darzi, A., & Vlaev, I. (2024). Patients’ subjective well-being: Determinants and its usage as a metric of healthcare service quality. Journal of Health Psychology. https://doi.org/10.1177/13591053241246933
  • Burgess, R., Dolan, E., Poon, N., Jenneson, V., Pontin, F., Sivill, T., Morris, M., & Skatova, A. (2024). Harnessing digital footprint data for population health: A discussion on collaboration, challenges and opportunities in the UK. BMJ Health & Care Informatics, 31(1), e101119.

email: neo.poon@bristol.ac.uk