Notes on biology, data & code
The biology is
the hard part.
I'm Santiago, a biologist who ended up writing the software. I write about R, multi-omics, and what changes when AI agents start analysing real data.
The biology is
Latest writing
All 13 essays →The Wall, the Lasagna, and the Last Biologist Who Codes
Back from the Swiss Proteomics meeting in Bern with a few observations: data is winning, lasagna is underrated as a visualization paradigm, and you're running out of time to learn R.
Making plotly labels behave: the story behind plotly.repel
Today I am publishing plotly.repel, an R package that brings ggrepel-style label repulsion to interactive plotly charts...
The Membrane Potential Paradox: How Bacteria Balance Permeability and Energy
How internal proton and potassium gradients gate porins, tune nutrient uptake, and shape antibiotic entry in Gram-negative bacteria.
Announcing MCPR: The First AI Protocol for Live R Sessions
MCPR solves the fundamental disconnect between AI agents and interactive data analysis by enabling direct execution within live R sessions, transforming AI from a code generator into a computational extension of analytical thinking.