Science
Research, machine learning, and scientific insights
Front cover in Science Advances: linker histone H1 as a liquid-like glue for chromatin
I am very happy to share that our new paper is out in Science Advances and featured on the front cover. The paper is Shimazoe et al. (2026), “Linker histone H1 functions as a liquid-like glue to organize chromatin in living human cells” (10.1126/sciadv.aec9801).
Read MoreImage analysis in ML pipelines for biology: a maths-and-plots guide
Biological image analysis is where measurement meets models. A microscope image is not “just pixels”: it’s a noisy sampling of an underlying biological scene (cells, nuclei, organelles), transformed by optics, staining, sensor noise, and experimental variability.
Read MoreRandom Forests vs Gaussian Processes: A Practical Maths-First Comparison
Random Forests and Gaussian Processes (GPs) are both powerful non‑parametric models (models that don’t fix a single, limited functional form in advance) for regression and classification, but they come from very different mathematical worlds.
Read MoreUnderstanding Molecular Dynamics Simulations
Molecular dynamics simulations are powerful computational tools for understanding the dynamic behavior of particles over time. This post explores the fundamentals of MD simulations, from the statistical mechanics foundations to practical implementation using the Verlet algorithm.
Read MoreUnderstanding Oligonucleotide Impurities Across Nucleotide Modifications
Exploring the most common chemical impurities in oligonucleotide synthesis across different nucleotide modification families, with interactive visualizations showing chemical structures and formation mechanisms.
Read MoreOligonucleotide Manufacturing
Last week, I had the privilege of presenting at the Innovation in Oligonucleotide Manufacturing Symposium hosted by CPI at the Medicines Manufacturing Innovation Centre in Glasgow.
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