I am currently a postdoctoral research assistant at the Institute of Biomedical Engineering (IBME) at the University of Oxford. My current research is focused on digital health and the use of artificial intelligence to detect behavioural changes likely to lead to an increased risk of stroke. I have a backgound in Broadband Networks (M.Sc) and Computer Science (M.Sc.), with a specialisation in scheduling algortihms applied to wireless vehicular networks (Ph.D.).
While studying in Paris (France), San Francisco (CA, USA) and Oxford (UK), I have done various internships and part time jobs related to computer networks and their administration. I am keen on exploring new technologies and enjoy analysing and presenting data in a clear, concise way. I enjoy working in a team but I also like to work independently.
Previously, I have researched heterogeneous wireless vehicular communications and the use of artificial intelligence for diabetes management within the EU H2020 PEPPER project. I also have an interest in mobile sensor networks and embedded software. I particularly enjoy working with hardware and building prototypes/testbeds to validate/challenge simulations.
The use of applied smart algorithms and artificial intelligence, in mobile devices or for remote real-time processing, to improve the use of ressources or provide personallised decision support to users/patients.
The aim of heterogeneous wireless communication is to make the best use of the available spectrum regardless of the technology. Systems will be able to select the best available technology or use different technologies in unity, in a transparent manner for the user.
Empower patients through the integration of new sensors and technologies to self-monitoring and self-management, in order to reduce hospital visits and improve quality of life.
Institute of Biomedical Engineering
Old Road Campus
Headington, Oxford, OX3 7DQ