Royal Society Wolfson Fellow & Faculty at Imperial College London. EBM at @OxfordJournals Briefings in #Bioinformatics, @Nature_NPJ #PrecisionOncology, et al.
Enjoyed speaking at the SAE Media Group's AI in Drug Discovery conference. A big thank you to them for organising and also for my interview https://t.co/KCwrEO8Ygq
Our new preprint. First prospective use of a transformer model for drug repurposing against Streptococcus pneumoniae, a major AMR threat. Great collaboration with Nick Croucher’s lab. Of 11 tested, 9 showed strong activity, some against multidrug‑resistant strains.
#AI#AMR
So much done, so much more left to do: "Seven in 10 people now survive their cancer five years or more, up from only half in the mid-70s" https://t.co/RoloOp6NnQ
FutureHouse has announced the 2026 AI-for-Science Independent Postdoctoral Fellowship (deadline 13 Feb 2026). Applicants need a co-advisor. I am happy to consider candidates: email [email protected] with CV + 2-page proposal. All info at https://t.co/U2oF75kS2n
For those of us who love Spain it has been a depressing week, seeing yet again how corruption and graft are so embedded in the political system. The current government, which came to power promising to change everything, has proved the most extensively and deeply corrupt of all.
Academic publishing is perhaps the greatest scam perpetrated on intelligent people
1) Write grants (unpaid)
2) Do research
3) Write papers
4) Peer review (unpaid)
5) PAY up to $12K to publish
6) Need publications to get grants (back to step 1)
Publishers: 38% profit margins
Brandolini’s Bullshit Asymmetry Principle: “The amount of energy needed to refute bullshit is an order of magnitude bigger than to produce it.” And this is often what it means to be a referee nowadays...
Happy to share our latest research on predicting temozolomide response in low-grade glioma patients using large-scale machine learning.
We explored 12 machine learning classification algorithms across six types of omics data.
https://t.co/Q5HNyUu1x0
🚀 Just published in Pattern Recognition:
We present LDMO-CCP, a conformal prediction model using molecular clustering for better uncertainty quantification across chemical spaces.
🔹 Identifies Proscilladin as broad-spectrum cell-active inhibitor
👉 https://t.co/nzqgnwvSSA