I'm a bioinformatician with a background in biology and cancer research, and a strong passion for data. My career began in the lab, studying cancer genetics. But as I faced complex datasets and limited tools, I naturally moved into programming—learning R, Python, SQL, and AI techniques to uncover the stories behind the numbers.

Since then, I’ve worked on multiple scientific projects, helping identify biomarkers and patterns in large-scale data. I also teach data science and AI, aiming to make complex concepts accessible and useful.

What drives me is curiosity about science, technology, and the impact of good data analysis (beyond the lab). While my roots are in biomedicine, I’m open and eager to apply my skills in other fields anywhere data can make a difference.