Dr Juan Rendon-Sanchez


I joined Kingston University in 2022. A computer scientist by background, I hold a PhD in Management from Bayes Business School (formerly Cass), City, University of London. I have conducted researched on forecasting in the energy sector, forecasting Covid-19 cases, agent-based simulation of collaborative procurement and systems thinking. I have tutored and lectured engineering, business and sociology students at undergraduate and postgraduate levels on computer programming and statistics subjects.

Academic responsibilities

Lecturer in Applied Data Science


  • 2017: PhD In Management, Bayes Business School, City, University of London.
  • 2009: Master of Science in Systems Engineering, Universidad Nacional, Colombia.
  • 2004: Bachelor of Science in Systems and Informatics Engineering, Universidad Nacional, Colombia.

Teaching and learning


Journal articles

Rendon-Sanchez, J. F. (2023). A reading of Alexander Bogdanov in times of crisis. Systems Research and Behavioral Science. https://doi.org/10.1002/sres.2937

Lotfi, M., Walker, H., & Rendon-Sanchez, J. (2021). Supply chains' failure in workers' rights with regards to the SDG compass: A doughnut theory perspective. Sustainability, 13(22), 12526. https://doi.org/10.3390/su132212526

Rostami-Tabar, B., & Rendon-Sanchez, J. F. (2021). Forecasting COVID-19 daily cases using phone call data. Applied soft computing, 100, 106932. https://doi.org/10.1016/j.asoc.2020.106932

Rendon-Sanchez, J. F., & de Menezes, L. M. (2019). Structural combination of seasonal exponential smoothing forecasts applied to load forecasting. European Journal of Operational Research, 275(3), 916-924. https://doi.org/10.1016/j.ejor.2018.12.013

Areas of specialism

  • Modelling
  • Simulation
  • Critical social theory
  • Systems thinking
  • Cross-fertilisation between those topics

Leadership and management

University responsibilities

  • Managing Marketing Information module leader
  • Business Statistics & IT module leader

Social media