Sandor is a Research Fellow in the Department of Engineering, King’s College London.

Sandor trained as a mechanical engineer and completed a PhD at the Budapest University of Technology and Economics. Their early research focused on vehicle dynamics and nonlinear systems and control, followed by research associate positions in Engineering Mathematics at the University of Bristol.

In 2023, Sandor moved into infectious disease epidemiology at Imperial College London, applying ideas from control theory, dynamical systems and statistical inference to public-health decision-making. Their research has examined how interventions can be designed and updated in real time when surveillance data are noisy, delayed or incomplete, including work on optimal epidemic control and outbreak response.

At King’s, Sandor’s work bridges engineering, epidemiology and data science. Their current research focuses on behaviour-aware epidemic control and adaptive decision-making under uncertainty. They are particularly interested in how human responses to interventions can be incorporated into models and decision-support systems and how this can improve how we understand epidemic policy planning.

Research Interests

• Infectious disease modelling and epidemic control
• Dynamical systems
• Adaptive decision-making
• Behaviour-aware epidemic modelling
• Machine learning and data-driven modelling

 

Further Information

Research Profile