About

I am passionate about solving complex biological and biomedical challenges through computational and data-driven approaches.

My background combines a lifelong passion for biology and a deep enthusiasm for programming, which ultimately allowed me to thrive in the evolving field of bioinformatics.

With 15+ years of experience, I specialize in large-scale genomics, transcriptomics, proteomics, epigenomics, and multi-omics analysis using R, Python, and Bash. I emphasize reproducibility, scalability, and efficiency in my work, using tools such as Git, Snakemake/Nextflow, Conda/Docker/Singularity, and Markdown to build robust and transparent workflows. I also increasingly leverage AI-assisted tools and autonomous agents as part of my workflows, using them to accelerate development, automate routine tasks, and explore new approaches to computational problems.

I currently work as a bioinformatician at Karolinska Institutet, in the Clinical Genetics Group, studying molecular mechanisms in hematological malignancies and CNS tumors to advance precision cancer medicine. Previously, I spent over five years at the Lund University Diabetes Center (LUDC), where I led bioinformatics analysis development and headed the Bioinformatics Unit, supporting research in diabetes and related metabolic diseases.

For more information, you can explore my Google Scholar, GitHub, and blog posts.

I’m also available on LinkedIn or by email — please feel free to connect!