Natalia was awarded her Master in 2012 in Pharmaceutical Sciences and Drug Delivery (University Lusofona – Portugal, and Faculty of Pharmacy of Nancy – France). Her Master’s work focused on the study of the stability of cyclodextrin complexes and characterisation of drug-cyclodextrin complexation processes. After a brief period as a research assistant in a project for the development of population pharmacokinetics models that enable personalised treatment to HIV1 patients, she was awarded a full PhD scholarship by the University of Kent (UK). Her PhD project, developed in the field of cheminformatics, was focused on the development of machine learning models for the prediction of membrane permeation across a multitude of efflux and uptake transporters (ABCs and SLCs), and their integration into a overarching model for the prediction of volume of distribution. During her PhD she also spent 6 months in the chemical biology group in Novartis, Basel. Natalia completed her PhD in 2017 at which point she started as a postdoc at the Centre for Molecular Informatics in Cambridge until the end of 2018 where she worked on the development of models to predict compound synergy as well models to predict gene expression signatures. She started as a postdoc early 2019 in iMed.ULisboa and is now a junior researcher. Her current work entails the construction of a cheminformatics and bioinformatics platform that helps researchers within iMed.ULisboa to access different data sources and tools. Natalia’s interests include cheminformatics, machine learning for drug discovery, and developing tools to expand the current coverage of target space.