When biology got too big for statistics - why genomics needed machine learning
Tracing the path from early AI dreams to modern genomic applications - why biology needed machine learning, and what it took to get here
all things genomics, bioinformatics & sustainability
Computational work is often a solo activity-just you, your code, and a gene network. But the big challenges aren’t tackled alone: crops failing, climates shifting, farmers adapting. These need collective solutions.
This blog is my way of connecting the dots and engaging beyond the screen. I write about the technical stuff I’m learning and the broader issues it touches (and some other things inbetween). Light on jargon, heavy on curiosity.
