From cancer genomics to your R console
For more than a decade, Alboukadel Kassambara has worked where biology meets computation — a through-line of multiple-myeloma research that runs from his PhD on prognostic biomarkers to RNA-seq risk signatures, spatial immune profiling, and AI-driven digital pathology. The problem was always the same: turning large, messy, multi-omics datasets into decisions researchers and clinicians can trust.
Along the way he open-sourced the tooling he needed himself. ggpubr, rstatix, factoextra and survminer began as the code that made his own analyses publication-ready and reproducible; today they are everyday tools in labs worldwide. He taught the same recipes — first freely on STHDA — Statistical Tools for High-throughput Data Analysis — then on Datanovia — in the practical, output-first voice that made his guides a fixture for R users.
Today he works as an independent computational-biology consultant and is the founder of Helomnix, a computational-oncology venture — while Datanovia carries the teaching mission forward: the tools, and the lessons that teach them, in one reproducible place.
“I build the tools I wish I'd had at the bench — then I teach them, for free, to everyone who is now where I once was.”
