I am a Research Fellow 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, deep-learning models as LSTMs, and temporal models such as NODES. Through my research, I aim to improve and translate newly developed models from computer vision and pattern recognition domains to healthcare problems.
Department of Biomedical Engineering, School of Biomedical Engineering Imaging Sciences, King's College London
Research Fellow
Department of Biomedical Engineering, School of Biomedical Engineering Imaging Sciences, King's College London
Postdoctoral Research Associate
Associates, Outsmart Insight
Consulting Analyst
Division of Anaesthesia, Department of Medicine, University of Cambridge
MSc Internship - Quantitative comparison of multi-centre MRI data for mild to severe Traumatic Brain Injury
Centre for Medical Imaging Computing, University College London
BSc Internship - Pattern Recognition for Neuroimaging
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