Senior AI/ML and genomics practitioner with ~15 years building open-source, production-grade tools for large-scale biological data. Maintainer of multiple Bioconductor packages (fastreeR, metabinR, jvecfor), and author of agentic, LLM-driven tooling that runs reproducible bioinformatics workflows from natural-language requests.
Broad multi-omics background spanning genome assembly and annotation, population genomics, large-scale NGS and functional-genomics analysis, and metagenomics, backed by reproducible HPC software and end-to-end program leadership. Currently focused on bringing modern AI — embeddings, deep learning, and LLM-based agents — to making complex omics datasets faster and easier to interrogate.
PhD in Machine Learning
Athens University of Economics and Business
MSc in Machine Learning
Athens University of Economics and Business
BSc in Physics
University of Crete
My work sits at the intersection of bioinformatics, computational biology, and machine/deep learning — building algorithms and pipelines for NGS data analysis and integration, comparative and population genomics, GWAS, genomic selection, and big-data mining.
I have extensive experience in algorithm design and prototype software development across plant and human genomics, with strong skills in C++, Java, R, Nextflow, and Docker/Singularity, plus HPC cluster management.
Please reach out to collaborate 😃
Prosopis cineraria (L.) Druce is a keystone tree species in the arid and semi-arid regions of West and South Asia, with critical ecological, cultural, and conservation …
Subcellular compartmentalization of metabolic enzymes establishes a unique metabolic environment that elicits specific cellular functions. Indeed, the nuclear translocation of …
This study presents the first comprehensive genome assembly and annotation of Citrullus colocynthis, a drought-tolerant wild close relative of cultivated watermelon, highlighting …
I’m always happy to discuss research collaborations, data, and ideas.
