Data Platform Developer · Computational Biologist · Research Software Engineer

📍 Rome, Italy · EMBL Rome · LinkedIn · ORCID

I build data infrastructure for life sciences research and I genuinely care about the biology behind it. I'm currently at the EMBL Data Science Center, where I work on data management platforms, bioinformatics automation, and training researchers across EMBL's European sites.

What I enjoy most is sitting at the boundary between data engineering and molecular biology. I can spend a day thinking about plumbing processes in complex workflows and the following digging into ChIP-seq data to figure out what's controlling gene expression. That combination, I think, makes for better tools.

Data Platform Developer — EMBL Rome, Data Science Center

• Designing and maintaining data management infrastructure for multi-site research environments
• Delivering training workshops on basic computational skills, FAIR data principles, workflow management, and reproducible research
• Automating bioinformatics workflows across HPC environments (Snakemake, Nextflow, SLURM)
• Consulting on bioinformatics pipelines across chromatin biology, transcriptomics, and genomics projects

Languages & Frameworks: R · Python · Bash · SQL
Workflow & HPC: Snakemake · Nextflow · SLURM · Kubernetes
Data & Infrastructure: FAIR data principles · GitLab CI/CD · Docker · container orchestration
Genomics: ChIP-seq · Hi-C · RNA-seq · ATAC-seq · genomic visualization
Teaching: Carpentries-certified Instructor (14 workshops · 5 university courses)

• 3t-seq — published bioinformatics pipeline for single-cell multiomics (Briefings in Bioinformatics, 2024)
• Olfactory receptor gene regulation — first-author preprint on the mechanisms enforcing monogenic olfactory receptor expression
• DisProt / MobiDB — contributor to protein disorder databases used as community standards

PhD in Computational Biology · ~900 citations · h-index 8

Previous positions at University of Padova and Tampere University. Research spans protein disorder, cancer genomics, chromatin biology, and transcriptional regulation. A recurring theme across my career is understanding how gene expression is controlled at the molecular level — from enhancer–promoter interactions to the mechanisms that enforce cell-type-specific transcriptional programmes. I have extensive experience in international, multidisciplinary teams and a strong commitment to FAIR and reproducible research practices.

Open to collaborations, speaking invitations, and opportunities at the intersection of data engineering and life sciences research.

📧 Reach me via LinkedIn.