I have a degree in Bioengineering and a master's degree in Biotechnology for Health Sciences from the University of Trás-os-Montes e Alto Douro, where I developed a strong interdisciplinary background in molecular and cell biology, biochemistry, health sciences, and bioinformatics, complemented by programming skills in C and basic knowledge of Python. Using C. elegans as a model organism, I studied Machado-Joseph disease in my master's thesis, focusing on the LGC-50 serotonin receptor and its possible similarity to the human 5-HT3 receptor. This study combined molecular and biochemical techniques, such as Western blot, CRISPR-Cas9 genome editing, and genetic crosses in C. elegans, with bioinformatic studies to investigate the structural and functional characteristics of the receptor. Furthermore, I optimized a Python-based software tool originally designed for C. elegans, which calculates multiple metrics such as animal size, average speed, and maximum speed. I adapted it to the specific requirements of the laboratory environment, enabling a more accurate assessment of movement differences between wild-type animals and genetically modified strains generated during the thesis. Through these experiences, I gained hands-on expertise in experimental design, statistical analysis, data analysis, and computational tool development, which not only reinforced my interest in neurodegenerative diseases, protein targets, and therapeutic strategy development but also equipped me with the scientific and technical skills required to contribute effectively to multidisciplinary research in areas such as drug development, protein degradation, and disease modelling.