My scientific career has evolved from foundational work in experimental biomedicine to a broader mission of strengthening transparency, reproducibility, and research data management across the life sciences. I began as a biochemist and cell biologist at the University of Coimbra, where I later completed my PhD in Cell Biology. During these early years, my research centered on mitochondrial physiology and toxicology, exploring how cells respond to metabolic stress and dysfunction. This period grounded me in rigorous experimental design and cultivated a deep appreciation for methodological precision. As my work progressed, I became increasingly aware of the structural challenges that limit the reliability and reuse of biomedical research—particularly the gaps in documentation, metadata, and data stewardship. This recognition progressively shifted my trajectory toward metascience, where I now focus on developing practical approaches that help experimental researchers adopt more transparent and reproducible workflows. Over time, I expanded my expertise to include computational biology, data science, and research-quality assessment. I began integrating automated screening tools, dashboarding, and workflow design into my research practice, bridging experimental and computational perspectives. My recent publication in Physiological Reviews reflects this evolution, translating best practices in data management and sharing into accessible, actionable guidance for laboratory scientists. Today, my work combines method development, institutional capacity building, and community engagement. I contribute to initiatives that enhance data stewardship, support experimental design, and promote FAIR and Open Science principles. I regularly collaborate with national and international networks, mentor early-career researchers, and develop resources that help laboratories implement more robust and trustworthy research practices. Through this interdisciplinary path—spanning bench science, computational methods, and research integrity—I remain committed to improving the quality, transparency, and long-term value of biomedical research. --------------------------------------------------------------------------------------------------------------------------- CAREER GOALS Modern science has evidently contributed to the improvement of human living conditions. However, most of its advances often struggle to reach society, either in the form of tangible benefits or general knowledge. Several factors can contribute to this, including the lack of systematization of scientific practices, which would allow data generated by some, often with public funding, to be used (or validated) by others, namely for different purposes than initially intended. As I know from personal experience, doing science at the bench is demanding work. It requires a lot of concentration, many hours and sacrifices. However, beyond what they already do, scientists need to start documenting more of what they do, why they do it, when they do it, and how they do it, so that the information they generate can be transparent, repeatable, and used by other scientists. This process needs to be made simple and uniform. My main goals are to raise awareness and increase literacy among experimental researchers about this need and to co-develop and validate guidelines and workflows, along with experimental researchers, so that best research practices can be adopted by all.