My research focuses on mathematical modelling and control of complex dynamical systems with an emphasis on the multi-scale modelling of tumour growth and therapy optimisation. I utilise non-linear systems and chaos theory, control theory and computational modelling approaches to develop predictive models toward clinical application. Moreover, I work on feedback control of non-linear, uncertain systems with applications to smart materials and artificial muscles.
My Fellowship (March – June 2019)
Antibiotic Resistance is a major challenge for the management of Neisseria Gonorrhoeae due to the emergence of multi-resistance strains to most antibiotics in the market. At the IAS, I will engage with other researchers to develop a mathematical model which enables one to understand the main drivers and dynamics of the spread of antibiotic resistant strains of Neisseria Gonorrhoeae and predict more accurately when the resistance to an antibiotic reaches a critical level. We believe that the results obtained from the model could help developing efficient antibiotic management strategies to reduce the spread of resistance from country to global level.