PhD candidate

Department of Biomedical Engineering & Physics
e-mail: l [dot] a [dot] ramos [at] amsterdamumc [dot] nl


Lucas has a Bachelor’s degree in Computer Science (Unesp, Brazil, 2010-2013) and a Master’s degree in Computer Vision and Pattern Recognition (Unesp, Brazil, 2014-2016). During his Bachelor, he explored the fusion of methods for recognizing fingerprint fragments. In his Master’s, he developed multi-scale methods for shape analysis. He started his PhD in September 2016 at the department of Biomedical Engineering and Physics, Amsterdam University Medical Centers (Amsterdam UMC).  His PhD work is about the combination of heterogeneous data (images, signals and tabular data) using Machine Learning for diverse clinical tasks, such as the prediction of complications or outcomes after stroke. He is currently working on a project entitled joint analysis of heterogeneous data for outcome prediction of ischemic stroke patients, where he is exploring the use of multi-channel variational autoencoders to combine CTA scans and patient demographics data for predicting outcome after stroke.