Andrew joined the group in June 2025. With a Master’s degree in Mathematical Physics and his research at the Max Planck Institute for the Physics of Complex Systems, he has a background in mathematical modelling and complex systems science. Andrew worked previously at the Zentrum für Evidenzbasierte Gesundheitsversorgung, contributing to projects on predictive modelling for regional healthcare resource management during seasonal disease outbreaks. At SynoSys, he focuses on database management and data curation, particularly for large-scale wearable and survey datasets, to advance understanding of Post-COVID Conditions.

Interessen
  • Analysis of large data sets
  • Machine learning
  • Time series analysis
  • Non-linear dynamics
  • Post-acute infection syndromes
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  • Research Associate, 2023–2025

    Zentrum für Evidenzbasierte Gesundheitsversorgung

  • Research Associate, 2017–2021

    Max Planck Institute for the Physics of Complex Systems

  • MPhys in Mathematical Physics, 2013–2017

    Heriot-Watt University