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Closed-loop, ML-guided biological design has produced real wet-lab results since 2019. It has also produced a corrections record, and every closed-loop result that has been independently re-examined has come back smaller. A review of what the campaigns measured, at what sample cost, and against which baseline.
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DeepMind has precomputed the predicted effect of all 9 billion possible single-letter changes in the human genome. It is the third time they have run this play — and the first time on a problem where the models’ best-documented weakness is exactly the thing the table is for.
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Zarr v3 is not a cosmetic rewrite of v2. It reorganizes metadata, replaces the compressor with a typed codec pipeline, and adds sharding — which is the change that actually decides whether your dataset works on object storage. A practical comparison, and when each version is the right choice.
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Where graph signal processing came from, how a field got named in 2013 by two papers that disagreed about what frequency means on a graph, how it reached biology, and the people whose work carries it now. With figures computed rather than drawn.
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Visual cheat sheets on the TIFF family for microscopy — TIFF, OME-TIFF, QPTIFF, and how they compare. Click any thumbnail to zoom.
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A small repo with my Ghostty + zsh setup, and a one-command install that gives me a good-looking shell on any fresh machine.
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Combining protein and RNA on the same tissue slide, and reading the spatial relationships at multiple biological scales with Spectral Graph Cross-Correlation (SGCC).
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