Giulio Isacchini

@giulioisac.bsky.social

Machine Learning Scientist @ Imprint labs decoding the adaptive immune system, see http://giulioisac.github.io

This started in 2019 as daydreamy PhD student musings with Tatsuya Araki. We're as excited as ever about germinal centers as a platform for experimental evolution. Many thanks to PIs @victora.bsky.social @matsen.bsky.social, co-1st authors Ashni Vora and Tatsuya, and many other key collaborators!

Replaying germinal center evolution on a quantified affinity landscape

Antibody affinity maturation results from a somatic evolutionary process that takes place in the germinal center. A “parallel replay” experiment on germinal center B cells reveals the evolutionary for...

cell.com

This has been a really fun project and a chance to experience, thanks to the collaborative spirit of Oskar, Stephan, Ben, Clemens, Divy, and Takashi, the best side of what science can be.

Post nicht verfügbar.

excited to announce that this January we are relocating to Yale to start a theory initiative at the Center for Systems and Engineering Immunology (CSEI): @yalecsei.bsky.social looking to hire 2 postdocs to join us in this endeavor. more details can be found here: sites.google.com/uw.edu/statp...

SPE - join us

Postdoctoral position: In January 2026, we are relocating to Yale university to start a theory initiative at the Center for Systems and Engineering Immunology (CSEI). We are looking for talented postd...

sites.google.com

The final version of our "Thrifty" paper is up now: elifesciences.org/articles/10... . We were motivated to fit wide-context mutation models based on previous analyses showing "mesoscale" effects and a position-specific effect. But, how to avoid exploding the number of parameters? 🧵

Thrifty wide-context models of B cell receptor somatic hypermutation

Convolutional embedding models efficiently capture wide sequence context in antibody somatic hypermutation, avoiding exponential k-mer parameter scaling and eliminating the need for per-site modeling.

elifesciences.org

I'm stoked to have this long-term and highly collaborative effort out in the wild. We present an experimental evolution system to quantitatively study the rapid evolutionary dynamics of B-cell affinity maturation. These evolutionary mechanisms underpin antibody responses and immune memory formation.

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Gabriel Victora@victora.bsky.social · last yr.

Wanted to highlight our latest preprint--a huge effort by multiple people and labs, but led primarily by @wsdewitt.github.io, Tatsuya Araki, and Ashni Vora, in a very close wet-dry collaboration with @matsen.bsky.social’s lab at the Hutch www.biorxiv.org/content/10.1...

Thrilled to announce that our work (w. with fantastic @neher.io and Liam Shaw) has been published on Molecular Biology and Evolution! 🎉 academic.oup.com/mbe/advance-... Are you curious about how fast the genome of E.coli evolves structurally (gains, rearrangements...) ? 🧬 A summary thread [1/N]🧵

Quantifying the evolutionary dynamics of structure and content in closely-related E. coli genomes

Abstract. Bacterial genomes primarily diversify via gain, loss, and rearrangement of genetic material in their flexible accessory genome. Yet the dynamics

academic.oup.com

My first Skeetorial! 💻🧬TCR-TRANSLATE - A new framework for thinking about the TCR:pMHC specificity problem. TLDR: We pretrained LLMs on ~8M TCR & pMHC seqs Finetuned on sparse pMHC->TCR pair data Validated CDR3b sequences to unseen antigens >> random performance on IMMREP2023 "private" antigens

meme paper summary showing a fork in the road for the tcr:pmhc specificity problem: 1. pointing to binary classification 2. pointing towards gen AI