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.
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.
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.
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.
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.
Today I am publishing plotly.repel, an R package that brings ggrepel-style label repulsion to interactive plotly charts…
How internal proton and potassium gradients gate porins, tune nutrient uptake, and shape antibiotic entry in Gram-negative bacteria.
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.
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.
Today I am publishing plotly.repel, an R package that brings ggrepel-style label repulsion to interactive plotly charts…
How internal proton and potassium gradients gate porins, tune nutrient uptake, and shape antibiotic entry in Gram-negative bacteria.
Today I am publishing plotly.repel, an R package that brings ggrepel-style label repulsion to interactive plotly charts…
How internal proton and potassium gradients gate porins, tune nutrient uptake, and shape antibiotic entry in Gram-negative bacteria.
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.
Today I am publishing plotly.repel, an R package that brings ggrepel-style label repulsion to interactive plotly charts…
How internal proton and potassium gradients gate porins, tune nutrient uptake, and shape antibiotic entry in Gram-negative bacteria.
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.
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.