One month until London Q-Immuno Day 2026! 🧬💻
Join us on May 8th for interdisciplinary discussions at the intersection of theory, computation and immunology. More details and free registration at: qimmuno.com/ldnday/
Watch out for future work in which we ask: how much spatial variability in the immune repertoire can be explained by localised clonal expansions?
Our work on these questions has been motivated by our experimental findings uncovering substantial variation in the human immune repertoire across blood and tonsils. doi.org/10.1016/j.im...
In doing so, we extend the time-averaged neutral theory of ecology to the spatial domain and uncover a rich phenomenology of expected inequality even in the simplest model setting combining space and fitness fluctuations.
We show that variability of a species abundance across spatial sites can arise without an intrinsic preference but due to fluctuating environmental alone that transiently make a species fitter at one location.
In our latest work, we show that this intuitive conclusion need not follow.
Imagine you measure an ecological community at two different locations, A and B. You observe that a species is significantly more abundant at site A then B. You might conclude that this is a result of the species being better suited to A. In ecological terms, the species is fitter in A than in B.
Excited to share the latest preprint from the lab "Fluctuating environments are sufficient to drive substantial variability in species abundance across locations" now up on arXiv arxiv.org/abs/2603.02403 🎉
Looking forward to connecting with many of you!
Later on I will give an invited talk in the session "AI driven insights into immune responses: vaccines, infections, and disease" laying out a vision for combining AI with TCRseq to study human immunity.
Carolin Turner and Peter Thomas will talk in the Decoding and harnessing diversity in adaptive immune receptor repertoires session on T cell immunity to TB and SARS-CoV-2, respectively
If you're at @britsocimm.bsky.social Congress, come catch three talks today with updates about our research!
We are #absolutely #thrilled to #present @cp-immunity.bsky.social - Deep profiling of human T cells defines compartmentalized clones and phenotypic trajectories across blood and tonsils: Immunity www.cell.com/immunity/ful...
Excited for the line-up of speakers at the London Quantitative Immunology Network meeting Nov 19th -- check out the programme here 👉 evilab.ai/quantitative...
Come join us at ICR Chelsea :)
A really nice overview of key Treg discoveries relevant for today's exciting Nobel announcement
www.nobelprize.org/uploads/2025...
To keep up-to-date with future events, also consider signing up for the LDN Q-Immuno mailing list. Instructions here: qimmuno.com/ldnqimmuno/
Join us for the next London Quantitative Immunology meet-up at the ICR in Chelsea on 19th November 2-5pm!
Free sign-up and short talk submission here: forms.gle/YZT1y2Sp6YVj...
Driven to understand why transplants fail, Dr Andreas Tiffeau-Mayer (@qimmuno.bsky.social) used a UCL – University of Sydney Strategic Ignition Grant to combine computational and clinical expertise with collaborators in Australia ⬇️
Find out more about the Grants and apply by 13 Oct: bit.ly/4pFUd2S
How can repertoire analysis inform the selection of TCRs for cancer immunotherapy? We've summarised emerging experimental and computational approaches in a review led by @UDemael doi.org/10.3390/cell...
🚨 PhD Position available in our lab 🚨 exploring the power of blood immune multi-omics to detect lung cancer years prior to clinical diagnosis in a unique cohort of >10,000 CT screened individuals.
✅ Wet & dry lab
✅ September 2025 enrolment
✅ UK tuition fees only
www.ucl.ac.uk/medical-scie...
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...
Very important work! We've been waiting for someone to do this. It has been clear for some time that a proportion of aggregated TCR-pMHC data might not be reliable. It will be interesting to reassess performance in light of this more robustly validated data.
In our updated preprint, we show that mlTCRdist weights are predictive for pMHCs highly dissimilar (≥ 6 edits) to any seen during training! We are excited about these findings as such wide extrapolation has so far remained out of reach for sequence-based machine learning approaches. 🎉
How to learn rules of TCR-pMHC binding that generalize? We propose that co-specificity rules are likely more universal and can thus be learned from less data.
arxiv.org/abs/2412.13722
Interested in T cell immunity in TB? Check out our new pre-print on antigen-agnostic identification of generalisable human in vivo Mtb-reactive T cell responses: www.biorxiv.org/content/10.1...
with @qimmuno.bsky.social & @innate2adaptive.bsky.social
Hi, I’m Peter the Postdoc and today I’ll be taking over the feed from the 3rd London Quantitative Immunology Day! I’ll be sharing updates and insights as the day progresses, so stay tuned!
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Another successful #qimmuno day has drawn to a close, but discussions continue in the pub around the corner! Congrats to the organising committee @qimmuno.bsky.social for an excellent day and to all the speakers for engaging talks.
