PhD Student @Harvard @insitubiology. ex-@Google. Nice to meet you.
Joined March 2013
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Announcing our new preprint! We built SPICE, a framework that combines large-scale experiments and generative AI to design RNA sequences that control cell type-specific gene expression using alternative splicing - a powerful new modality! (1/10)
Preprint: biorxiv.org/content/10.1101/…
This method can allow us to have infinite number of orthogonal "HaloTags" by repurposing existing covalent drug-target pairs to become self-labelling tags! KRas(G12C) demostrated here, but many more to come! Super creative idea!
Excited to share a preprint of my main PhD work in @nickpolizzi_'s lab - introducing LUCI-tag, a new orthogonal self-labeling protein tag based on K-Ras(G12C) and its covalent inhibitors! biorxiv.org/content/10.64898… (1/16)
Dawn Chen retweeted
I hate this too! I think I can solve it with Alex:
github.com/madhavajay/alex
I can already detect errors and switch to a backup provider or model like got 5.6 sol. Next I’ll make it detect these guardrails errors and move over to another model so the work continues.
Dawn Chen retweeted
My lab at #Yale has two #riboswitch research openings: 1. Postdoc with mammalian gene manipulation experience (tinyurl.com/zzb269em); 2. Postdoc (or BS, MS) with bioinformatics skills (tinyurl.com/3j73jfcn). Send your cv to me or to Kavita at [email protected].
Dawn Chen retweeted
Hi folks, back to twitter after 2 yrs~I would like to share my lab's first work entitled "Reconstructing sequence-grammar trajectories enables interpretable and tunable cis-regulatory element design", posted on bioRxiv: biorxiv.org/content/10.64898…
Dawn Chen retweeted
If you love #SynBio, #GeneticCodeEngineering, and #SyntheticGenomics, we have an exciting thread for you!🚨
Today, we share our new work: unexpected defects in recoded organisms—and our multi-omics-based technology for rapidly debugging these defects on synthetic genomes.
ALT https://www.nature.com/articles/s41467-026-74300-9
Dawn Chen retweeted
I'm excited to share our new preprint "Vermeer: Autoregressive generative modeling of microscopy predicts protein localization," a collaboration between @MSFTResearch and @insitubiology!
Preprint: biorxiv.org/content/10.64898…
Protein localization is fundamental to protein function, but experimental imaging, a key technique to study localization, cannot scale to the entire human proteome across all biological contexts.
To address this challenge, we introduce Vermeer, an autoregressive generative model trained on Human Protein Atlas data @ProteinAtlas. Vermeer synthesizes fluorescence microscopy images of proteins conditioned on cell morphology reference stains and protein sequence embeddings (ESM-C).
Vermeer can leverage latent information about protein localization in the ESM embeddings to generalize to proteins the model has never seen during training. (1/n)
Dawn Chen retweeted
AI has transformed how we design therapeutics.
But targeted delivery is still an expensive guessing game.
Today @BobbyHollings and I are launching @deliverome with @beckypferdehirt and @radialscience at @AsteraInstitute, to fix that. 🧵
So much biomedical knowledge is locked up in papers that really should be accessible to everyone. Check out this platform that we built which allows you to do DNA analysis securely on your local device.
I built a free offline dna analysis tool in the browser that lets you check for these GLP1 variants!
Anyone know any GLP1 users or people wanting to try them who have been sequenced?
app.BioVault.net
Excited to share our preprint on BioVault – a open-source privacy-first platform for global biomedical collaboration using data visitation. 🌍
🔗 biovault.net
📄 biorxiv.org/content/10.64898…
Also thank you to everyone at @openminedorg , especially @falcon_ronnie, @lace31692, Dave Buckley, Sameer Wagh, @iamtrask. And thank you to Francis Crawley, @SCEdmunds, Weibin Liu, Yan Li, @geochurch , @tompollard , Juergen Reichart, @ryanjtaft for discussions.
Super cool work check it out!
Come check out some fun ways to use Vault😎
youtube.com/watch?v=AgQdVOMy…
science.org/doi/10.1126/scie…
Dawn Chen retweeted
At BridgeRD today, clinicians and researchers are teaming up to tackle one of the biggest hurdles with rare diseases: connecting what's seen in the lab to patient experiences in the clinic. 1/2 #RareDisease #BridgeRD
Dawn Chen retweeted
"Our biggest struggle is connecting with clinicians," says
Jimmy Ly of the Cheeseman Lab, who co-organized the event with @dawnchenx of @broadinstitute. "When we see a mutation in ClinVar, we can't fully interpret its role in disease without patient context."