🛤️ Welcome to my GitHub profile, where I share my research to support the scientific community, along with code or tips that have been useful in my self-learning journey.

🧬 My research centers on plant genomics, specifically analzying lage multiomic data sets to unravel the determinants of meiotic recombination in Brassica napus (rapeseed), a line of work that contributes to the broader goal of enhancing the crop’s genetic diversity.

🌱 This interactive Shiny visualization illustrates the impact of rapeseed compared with other oil crops—across country, region, and globally.

I’m hard-working, curious, and always eager to build new skills to optimize my work and to help my team.

Thanks to my extensive experience with R, I developed a tool for phasing and detecting recombination crossovers in multiparental populations with high accuracy despite of genotyping errors, that outperform related software in benchmarking.

I prepare well-structured Quarto/RMarkdown notebooks to document the outcome and code of my pipelines—for example, this workflow that develops machine learning models to predict recombination in rapeseed and measures the importance of multiomic features—and share them with colleagues to support decision-making.

I regularly use Bash scripting coding to operate Linux terminals, and I am also proficient in Python and SQL.

🗺️ Originally from Spain, I’ve worked as a Science teacher at a senior school in England, driven by my passion for education, and I’m currently completing my PhD in Germany. I speak Spanish, English and German fluently.

🐱 Click on this cat to access my resume!

I’m currently searching for opportunities in industry or academia.
If you’re interested in my profile, please contact me at jmonterotena@gmail.com.