Summary
Jessica Mégane is an AI researcher and invited assistant professor at the University of Coimbra with eight years of experience in evolutionary computation and grammar-based genetic programming. She designed Probabilistic Structured Grammatical Evolution and authored eight first-author papers, presenting at top-ranked conferences like GECCO and EuroGP and accumulating 50 citations. Her work combines adaptive probabilistic models with evolutionary search, implemented in reproducible Python and PyTorch pipelines with all code publicly available on GitHub. She has a strong teaching and mentorship record in Theory of Computation and Algorithms, guiding students in C++, Java, and Python through hands-on labs. Jessica has collaborated internationally (Italy, Spain, Germany) and applied her grammar-guided methods to creative domains such as polyomino and soft-robot design. Colleagues know her for quick learning, clear logical reasoning, and a genuine drive to share knowledge across research and student communities.
8 years of coding experience
AstroCamp 2015 Astronomia e Astrofísica, AstroCamp 2015 Astronomia e Astrofísica at Centro de Astrofísica da Universidade do Porto
Curso Básico de Música - regime articulado Violino, Curso Básico de Música - regime articulado Violino at Academia de Música de Viana do Castelo
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Universidade de Coimbra
Científico-Humanistico de Ciências e Tecnologias, Científico-Humanistico de Ciências e Tecnologias at Escola Secundária de Paredes de Coura
Portuguese, English, French, Spanish