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The BioPod

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.

Lately…

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

13 Jan 2026
Supervised learning: teaching algorithms to learn from example

Unpacking the mathematics behind supervised learning - from linear regression to gradient descent to avoiding the common pitfalls

22 Aug 2025
Unsupervised learning: finding patterns without labels

An introduction to clustering methods in biological data analysis

29 Jul 2025
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