I am a Master and PhD student in Biomedical Engineering (BME), with 4 years of experience in BME research focused on wearable sensing, biomedical signal processing, and machine learning for BME applications. My professional experience in BME dates back to 2017, starting with my MSc thesis, in which novel contributions were made to the field of human activity recognition. Since 2019, I have been a Researcher at IT, developing research in the field of epileptic seizure detection and prediction at the Pattern and Image Analysis (PIA) group, in collaboration with Hospital de Santa Maria and Hospital Egas Moniz. I have done 1 int'l academic exchange (at the Politecnico di Milano), and participated in 4 research and development projects (one int'l). In my assignments I actively contribute to the training and to the career of young professionals, as shown by the mentoring of 3 MSc thesis, and 29 MSc students. In addition, I collaborated in 2 editions of a MSc-level course on machine learning, and offered 1 int’l and 4 national courses and seminars. My work has also involved relevant associative duties, having served as president of the biomedical engineering student group at FCT/UNL for the 2016-2017 term. I participated in editorial, reviewing, and conference organisation activities, examples including being a reviewer for Int’l Conf. on Pattern Recognition (ICPR) in 2020, and one of the organizers of ENEEB 2016. Throughout my years as a researcher and academic, I co-authored articles in peer-reviewed journals (1 as first author in a Q1 journal and 1 as co-author in a Q2 journal), 3 national and 1 international conference paper (with scientific refereeing), and 1 technical report. I’ve had a fair share of traveling and learning amidst leading BME academia and industry at a national and int'l level, which enabled me to develop an eclectic spirit, and create a solid network of contacts. I also contribute on a regular base with software and other assets made available to the community at large via GitHub.