I hold a Master of Science degree in Biomedical Engineering from Instituto Superior Técnico (IST) and I am currently completing the first year of the Doctoral Program in Biomedical Engineering at the same institution. During my master’s degree, I majored in Regenerative Medicine and Tissue Engineering, while also pursuing topics such as bioinformatics, machine learning and algorithms and their applications to biomedical research. The combination of these two areas of expertise was the foundation of my master’s thesis project entitled “Unsupervised machine learning approaches for whole transcriptome analysis of human pluripotent stem cell differentiation into cardiomyocytes”. This thesis, graded 19/20, presented a novel methodology, comprising several unsupervised learning algorithms, to study the transcriptomic changes of stem cell cardiac differentiation, from a whole transcriptome point of view. This work is now published in Scientific Reports, a peer-reviewed open-access journal from the Nature Portfolio. Beyond these achievements, my master's thesis was developed in the scope of the FCT-funded project SMART, a collaboration between the Pattern and Image Analysis Group (PIA-Lx) from IT – Instituto de Telecomunicações, and the Stem Cell Engineering Research Group of Institute for Bioengineering and Biosciences (iBB-SCERG). From September 2022 to August 2023, while I was a researcher in the PIA group, I incorporated pseudotime analysis in the unsupervised workflow for transcriptome analysis from my master. This work gave rise to the publication of a peer-reviewed full paper in the International Joint Conference on Biomedical Engineering Systems and Technologies and an oral presentation at the co-located Conference on Bioinformatics Models, Methods and Algorithms. Since November 2023 I have been a researcher of the SCERG-iBB team. My focus is to improve the unsupervised whole transcriptome analysis tool so that it can be used for a wider range of applications. This led me to dive into the field of cellular agriculture, broadening even further my knowledge. During the past year, I embraced the challenge of being a teaching assistant for the Introduction to Biomedical Engineering and Machine Learning in Bioengineering courses. My roles are to teach practical classes about clustering and biomedical data analysis and propose and supervise course projects. Through this experience, I improved my communication skills and helped Regenerative Medicine, Biomedical and Biological Engineering students apply machine learning algorithms to study gene expression data from real-world problems. Besides developing technical and scientific skills during my studies I interned at the Gastroenterology and Hepatology Service at Hospital de Santa Maria, where I was able to be in close contact with healthcare professionals and patients, following the process of diagnosis and treatment up close. Being passionate about communication, I was an IST ambassador. My role as ambassador was to help and guide potential IST undergraduate candidates in getting to know the institution and the courses it offers. To diversify my range of knowledge, I participated in the IST management challenge - Best of Class edition sponsored by EDP and conquered third place in this management competition thus securing the sponsorship of STAPLES to compete in the Global Management Challenge.