Filipe Assunção is Senior Research Scientist at OutSystems, and a researcher at the Computational Design and Visualization Lab of the Centre for Informatics and Systems of the University of Coimbra. His main research interests are in the areas of Evolutionary Computation, Machine Learning, Automated Machine Learning, and NeuroEvolution. He has participated in multiple national and international projects, and has published in many international peer-reviewed conferences, journals, and book chapters. He is currently finishing his PhD dissertation on the automatic optimisation of Artificial Neural Networks (ANNs). More precisely, he researches on the creation of bio-inspired methods that can efficiently and effectively generate ANNs for addressing hard-to-solve problems. He is the inventor of Deep Evolutionary Network Representation (DENSER) -- a general purpose grammar-based neuroevolution representation for the automatic generation of ANNs. At the moment he is extending the framework to deal with learning in an incremental way, such that, the networks cumulatively learn new tasks without forgetting the previous ones. The framework has been successfully applied to multiple computer vision benchmarks, and to problems in the physics domain.