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Discussing applied machine learning, coding, and biophysics

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Latest Posts

Below are the most recent articles, tutorials, and deep dives:

Data leakage in ML for biological and clinical data: what it is and how to avoid it

March 06, 2026 Science

When we build machine learning models on biological or clinical data, data leakage is one of the fastest ways to...

Image analysis in ML pipelines for biology: a maths-and-plots guide

February 15, 2026 Science

Biological image analysis is where measurement meets models. A microscope image is not “just pixels”: it’s a noisy sampling of...

Maths notation as a language: sets, symbols, and what they mean

January 30, 2026 Science

A lot of the fear around maths comes from notation: curly letters, upside-down letters, and symbols that look like hieroglyphics....

Random Forests vs Gaussian Processes: A Practical Maths-First Comparison

January 27, 2026 Science

Random Forests and Gaussian Processes (GPs) are both powerful non‑parametric models (models that don’t fix a single, limited functional form...

H(r, p) = K(p) + U(r)
p(H) = e^(-βH) / Z
F = -∇U

Understanding Molecular Dynamics Simulations

January 16, 2026 Science

Molecular dynamics simulations are powerful computational tools for understanding the dynamic behavior of particles over time. This post explores the...

Understanding Oligonucleotide Impurities Across Nucleotide Modifications

November 02, 2025 Science

Exploring the most common chemical impurities in oligonucleotide synthesis across different nucleotide modification families, with interactive visualizations showing chemical structures...