Royal Society Wolfson Fellow & Faculty at Imperial College London. EBM at @OxfordJournals Briefings in #Bioinformatics, @Nature_NPJ #PrecisionOncology, et al.

Joined September 2012
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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 smgconferences.com/documentp…

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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
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Enjoyed reading "Hit identification in ultra large virtual screening: an integrative review and future challenges" sciencedirect.com/science/ar…

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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 p.ballester@imperial.ac.uk with CV 2-page proposal. All info at futurehouse.org/fellowship
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Pedro Ballester retweeted
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.
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Pedro Ballester retweeted
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
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Looking forward to speaking at this AI for Drug Discovery conference smgconferences.com/pharmaceu…

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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...
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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. link.springer.com/article/10…
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🚀 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 👉 doi.org/10.1016/j.patcog.202…
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Really enjoyed my visit and talk last week at UC Berkeley (bidmap.berkeley.edu/seminars…). Many thanks to BidMap for the warm hospitality!
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Honored to have been invited to visit and speak at UC Berkeley bidmap.berkeley.edu/seminars…
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Pedro Ballester retweeted
We are hiring. If you are interested and consider yourself eligible for the post, feel free to apply: cam.ac.uk/jobs/research-assi…

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Check out our work on how to predict in vivo responses to drugs in PDX mice. Thanks to Shruti Gupta, Ph.D. , Vikash K Mohani and @shandar4all academic.oup.com/nargab/arti…
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Excited to share the publication of SCORCH2, a cutting-edge machine-learning scoring function! Check out the details at: advanced.onlinelibrary.wiley… Our rigorous evaluations prioritize transparency, ensuring no training-test overlap and full disclosure of the training set composition
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💊💥 Which method for off-target drug repurposing & reveal hidden targets? We just pitted 7 molecular target prediction tools against each other to find out. 🏆 🔍 Spoiler: problem-aligned benchmarking is essential. pubs.rsc.org/en/Content/Arti…
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