I am a Postdoctoral Research Associate in the Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences (BMEIS) at King's College London (KCL), London, UK.

My research is focused on the development of disease progression models to study infectious and neurodegenerative diseases using imaging and textual data. My work includes supervised machine-learning algorithms and time-series models, such as Gaussian Processes, and deep-learning models as LSTMs. Through my research, I aim to improve and translate newly developed models from computer vision and pattern recognition domains to healthcare problems.

Currently, I am working on disease progression and interventional models to study the progression of Tuberculosis Meningitis (TBM) in the brain, and the impact of some covariates on the patient's outcome. I also collaborated on COVID-19 research in the UK, where I developed a model to detect the early signs of infection from self-reported symptoms using data from a population-based study.

Education

University College London, London, United Kingdom

PhD in Medical Imaging

Supervisors: Dr. Marc Modat, Ph.D and Professor Simon Mead, FRCP PhD

Faculty of Sciences, University of Lisbon, Portugal

MSc in in Engineering Science, Biomedical Engineering and Biophysics

Thesis supervisor: Marta Correia, Ph.D, Rita Nunes, Ph.D

Faculty of Sciences, University of Lisbon, Portugal

BSc in in Engineering Science

Thesis supervisor: Maria Joao Rosa, Ph.D