Ph.D.  in Electrical and Computer Engineering, by University of Coimbra, December 2021 (expected), supervised by Luís Alberto da Silva Cruz (IT-Coimbra), Sérgio Manuel Maciel de Faria and Pedro António Amado de Assunção, both from IT - Institute Polytecnic de Leiria. His Ph.D. thesis proposes methods for the lossless compression of Light Fields (LFs), targeted for medical imaging systems. Major outcomes include the development of standard-compliant coding methods, three prediction modes for MRP that exploit the inherent redundancies of 4D LFs, and a LF lossless encoder with scalability and random access capabilities. 
 

Ph.D. in Bioengineering Systems by MIT Portugal, Instituto Superior Técnico, and Champalimaud Foundation, December 2021 (expected), supervised by Mário Figueiredo (IT-IST) and Nickolas Papanikolaou (CF). His Ph.D. thesis uses different ways of studying mineable medical imaging data. From extracting radiomic features from regions of interest and applying “classical” machine learning techniques trying to predict tumour staging, to using deep learning architectures to learn how to segment tumours, and anatomical structures, or even predicting survival. Generally, it presents proof-of-concept dataflows and AI methodologies to be applied to medical data. The main goal of the work is to create the dataflows needed for clinically relevant machine learning techniques. Currently, works as Data Scientist at Luz Saúde - Learning Health.