Sign in

Calum Gabbutt

@calumgabbutt.bsky.social
437 followers 75 following 24 posts

Computational biologist interested in cancer evolution, maths modelling and Bayesian stats. Junior group leader at @imperialimmuno.bsky.social

PostsRepliesMedia
Reposted by Calum Gabbutt
Rob Noble @robjohnnoble.bsky.social · 09/06/2026
In a new preprint led by Ves Manojlovic, we develop an agent-based model and an ABC-SMC inference workflow to infer tumour growth parameters from methylation arrays, focussing on sites whose states fluctuate on clinically relevant timescales. We applied this workflow to 10 colorectal tumours. 1/2
biorxiv.org
Fluctuating DNA methylation sites encode colorectal tumour growth history
Determining the nature of human tumour growth is challenging given the impracticality of obtaining detailed data across time. A promising solution is to examine DNA regions whose methylation states fl...
191
Reposted by Calum Gabbutt
pbousquets.bsky.social @pbousquets.bsky.social · 11/05/2026
How do cells lining our epithelium evolve over a lifetime? 🧬 We built PHYFUM, a new Bayesian phylogenetic method to reconstruct the evolutionary history of normal tissue using Fluctuating Methylation. Here's what we found 👇 #CancerEvolution doi.org/10.64898/202...
184
Reposted by Calum Gabbutt
Trevor Graham @trevorgraham.bsky.social · 08/05/2026
In colon, stem cells divide & so do the crypts they reside in: a multi-level evolutionary process. D Mallo, P Bousquets @heathergrant.bsky.social @calumgabbutt.bsky.social have made "PhyPhum" to lineage trace somatic evolution in human glandular tissues www.biorxiv.org/content/10.6... @icr.ac.uk
biorxiv.org
0107
Calum Gabbutt @calumgabbutt.bsky.social · 20/03/2026
If you're interested in integrating theory and data to better understand how cancers evolve, register for the 2nd CANPOP meeting! Featuring a keynote talk from Martin Taylor (@mstaylor.bsky.social) and selected short talks, what better way to spend an afternoon? forms.gle/jSxB1TdPURRa...
071
Calum Gabbutt @calumgabbutt.bsky.social · 13/02/2026
If you’re interested in machine learning and mathematical modelling, we’re recruiting a PhD student to develop new methods for studying cancer evolution at @imperialimmuno.bsky.social www.findaphd.com/phds/project...
findaphd.com
Developing machine learning methods to infer the evolution of haematological cancers at Imperial College London on FindAPhD.com
PhD Project - Developing machine learning methods to infer the evolution of haematological cancers at Imperial College London, listed on FindAPhD.com
096
Calum Gabbutt @calumgabbutt.bsky.social · 13/02/2026
An incredible opportunity for early career researchers - Imperial's Faculty of Medicine is hiring 20 Assistant Professors!
042
Reposted by Calum Gabbutt
Trevor Graham @trevorgraham.bsky.social · 01/12/2025
We held the first #CANPOP symposium today (cancer population genetics club) @icr.ac.uk. 6 excellent & didactic talks, all applying mathematical #popgen theory to dissect somatic evolutionary dynamics: spanning the full range of pre-cancer, metastasis through to 6000 year old transmissible cancer...
1204
Reposted by Calum Gabbutt
Trevor Graham @trevorgraham.bsky.social · 10/09/2025
Studying cancer evolution needs multi-region or single cell seq for phylogenetics, right? Amazingly (I think!) we found single-sample bulk methylation suffices, via analysis of "fluctuating methylation". In @nature.com today led by brilliant @calumgabbutt.bsky.social www.nature.com/articles/s41...
nature.com
Fluctuating DNA methylation tracks cancer evolution at clinical scale - Nature
Cancer evolutionary dynamics are quantitatively inferred using a method, EVOFLUx, applied to fluctuating DNA methylation.
79139
Calum Gabbutt @calumgabbutt.bsky.social · 10/09/2025
Cancer is an evolutionary disease, but does knowing a cancer’s evolutionary past help predict its future? Out today in @nature, we learnt the evolution of 2000 lymphoid cancers and found it was highly correlated with clinical outcomes! (1/7) rdcu.be/eFrrc
rdcu.be
Fluctuating DNA methylation tracks cancer evolution at clinical scale
Nature - Cancer evolutionary dynamics are quantitatively inferred using a method, EVOFLUx, applied to fluctuating DNA methylation.
14719
Reposted by Calum Gabbutt
I-X @imperial-ix.bsky.social · 18/07/2025
🚀 AI in Science Fellowships – Applications Now Open! The I-X Centre for AI in Science is recruiting up to 19 fellows to join their prestigious programme and accelerate artificial intelligence research in Engineering, Natural and Mathematical Sciences. 1/5
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
114
Calum Gabbutt @calumgabbutt.bsky.social · 18/07/2025
Imperial's Schmidt AI in Science fellowships are now open! As a current fellow, I can highly recommend applying for these prestigious and enriching awards. No prior AI experience needed, just a scientific problem suited to AI. For cancer researchers there are dedicated joint positions with the ICR.
imperial.ac.uk
Apply | Research groups | Imperial College London
030
Reposted by Calum Gabbutt
Trevor Graham @trevorgraham.bsky.social · 15/07/2025
Schmidt Fellowships for #AI in #cancer research 2025 round is now open. These are pathway to independence fellowships between @icr.ac.uk & @imperialcollegeldn.bsky.social that support fellows to be competitive for faculty jobs at the end of the 2 year funding. www.imperial.ac.uk/jobs/search-...
imperial.ac.uk
Search jobs for external candidates | Jobs | Imperial College London
11713
Reposted by Calum Gabbutt
Rob Noble @robjohnnoble.bsky.social · 14/07/2025
New preprint! Let me tell you a story about trees, caterpillars, brooms, entropy, and getting scooped by 50 years. Rooted trees of all shapes and sizes crop up all over biology, computing and elsewhere. How can we best compare the shapes of these myriad trees? 1/14 arxiv.org/abs/2507.08615
Darwin's famous sketch of a rooted tree, representing speciation
363
Reposted by Calum Gabbutt
Alexander Stein @alexsteinresearch.bsky.social · 29/05/2025
Interested in population genetics of cancer? If so, have a look at our manuscript accepted by @genetics-gsa.bsky.social, in which we provide a theoretical assessment of the genetic makeup of cancers before and after treatment!
074
Reposted by Calum Gabbutt
Trevor Graham @trevorgraham.bsky.social · 22/05/2025
Calling data scientists: we have opening in our Data Science core @icr.ac.uk to lead work around cancer spatial biology and single cell analysis. These are staff scientist type positions, ideal for someone who wants to help drive computational research. Apply here: jobs.icr.ac.uk/vacancies/12...
jobs.icr.ac.uk
Data Scientist in Sutton | The Institute of Cancer Research
View details and apply for this Data Scientist vacancy in Sutton. Salary : Salary range £39,805 to £49,023 (depending on the experience) Reporting to: Professor Trevor Graham ...
069
Calum Gabbutt @calumgabbutt.bsky.social · 24/03/2025
If you're a PhD student interested in using maths to understand cancer, this HCEMM summer school in Szeged, Hungary, is an excellent opportunity. Registration is free and local costs are covered, so apply before 15th April.
0105
Calum Gabbutt @calumgabbutt.bsky.social · 12/03/2025
This week-long summer school looks set to be an excellent opportunity for to learn about cancer evolution! Bursaries are available for those who require financial assistance, deadline 1st April.
030
Calum Gabbutt @calumgabbutt.bsky.social · 13/11/2023
Does the evolutionary history of a cancer predict patient outcome? In our new pre-print, we introduce a powerful new method to measure a cancer’s past using bulk methylation data. In chronic lymphocytic leukaemia (CLL), these inferred histories are highly prognostic! (1/9) doi.org/10.1101/2023...
An illustration of the mathematical model underlying the inference of a cancer's evolutionary history, involving exponential growth with epigenetic switching within individual cells.A Kaplan Meier curve showing the inferred growth rate stratifies time to first treatment in CLL patients, controlling for IGHV mutational status.
1101