CTO at Patch Bio. Formerly PI @IcahnMountSinai, data science @cloudera, co-founder @gsgenetics, and genomics @geochurch.
New York, NY
Joined February 2009
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Uri Laserson retweeted
If you live, breathe & die cellular and biochemical assay dev, this is the role for you! It's an insanely great starting place for an early-career PhD (or equivalent) scientist interested in startups and working on some really cool programs/technologies.
octant.bio/jobs?gh_jid=62147…
Uri Laserson retweeted
Mathematics has now fully morphed into biology:
Project costs millions $ ✅
Put out paper that nobody has read ✅
Massive paper supplement nobody will read ✅
Advertise with pretty art ✅
Vicious authorship fight ✅
Say you're curing cancer ✅
Iain has built one of the best teams I’ve ever been a part of, and HRT is an awesome place to work. Hit me up if this seems interesting to you.
Q2 was huge, market conditions were very special. Risks managed in July too, what a unique month...
More importantly, I'm hiring!
If you think AI for markets is interesting, you should join the frontier lab - that's my team. Jobs on website!
bloomberg.com/news/articles/…
Uri Laserson retweeted
🧡
Hiring!
Hudson River Trading posted a record $6.4 billion of trading revenue in the first quarter, more than half of its total haul in all of 2025. bloomberg.com/news/articles/…
Uri Laserson retweeted
Early in 2020, I got to spend three weeks in @NotionHQ's vibey, almost legendary Mission office before Covid sent us home for a year and a half. Now, six years later, the same office has become Rowspace's third HQ. The furniture is not as nice but the vibes are still immaculate. We're hiring product and research engineers, FDEs, and GTM here and in NYC to push the frontier on agent harnesses and context engineering for financial services and to partner with customers on deploying these to drive outsized returns. Come work with us!
rowspace.ai/careers
Uri Laserson retweeted
"The Bitter Lesson has fully arrived in sequence biology and protein structure. Evo 2, AlphaFold 2 and 3, ProGen3, RFdiffusion".
This sentence has some issues IMO. 1/
Uri Laserson retweeted
Excited to officially launch @Rowspace_AI — specialized intelligence for investors to make faster, sharper decisions by compounding their edge with AI. For the first time, they can turn their stores of messy, fragmented data into judgment and workflows that scale 🧵
Uri Laserson retweeted
2/ First, a new antibody discrete diffusion model. We specifically build on EvoDiff (@MSFTResearch) and D3PM to develop a diffusion-based tool for antibody sequence design. This complements Ginkgo’s scalable data product for antibody developability.
ai.ginkgo.bio/resources/whit…
Uri Laserson retweeted
Incredibly excited to share new results from Nabla Bio where we show we can design antibodies de novo for use in therapeutic discovery.
We introduce JAM, an AI system we’ve developed to design de novo antibodies with good affinities, early stage developability, and function. We’re seeing success across a range of soluble and hard-to-drug membrane proteins including a Claudin and a GPCR. We’ve extensively tested these designs in our wet lab and included detailed data and controls, providing the first clear demonstration of how de novo design could expand the scope and efficiency of therapeutic antibody discovery. 🧵
Technical report: nabla-public.s3.us-east-1.am…
Blog: nabla.bio/news/denovo
Uri Laserson retweeted
A quick personal update: after 3.5 amazing years at Notion and some time off, I've started a company that's at the intersection of everything I learned at Stripe, Notion, and Google—AI, fintech, productivity, and search. Our small team is growing, and we're looking for founding engineers and designers. Please reach out if you or someone you know might be interested in something early stage and in person (in San Francisco)!
Uri Laserson retweeted
Thrilled to share our research on designing better 3' UTRs for mRNA therapeutics and vaccines!
By integrating high-throughput stability assays, machine learning models, and mRNA domain expertise, we engineered 3' UTRs that improve mRNA stability and protein production in vivo.
Excited to share our recent work at @Ginkgo . TLDR: high quality mRNA stability data -> performant ML models -> design 3’UTRs that increase stability -> in vivo validated ML 3’UTRs beat benchmark. biorxiv.org/content/10.1101/…
Uri Laserson retweeted
Excited to share our recent work at @Ginkgo . TLDR: high quality mRNA stability data -> performant ML models -> design 3’UTRs that increase stability -> in vivo validated ML 3’UTRs beat benchmark. biorxiv.org/content/10.1101/…
Uri Laserson retweeted
Nice work. A few important quotes
"While top convolutional neural network models performed slightly better than top LSTM models, transformers performed worse than both LSTMs and residual convolutional models" 1/
Really excited to share work from our team at @Ginkgo, led by @AlyssaKMorrow, on ML guided 3’ UTR design.
biorxiv.org/content/10.1101/…
It's a great story of dataset generation, model training, generative design, in-vivo validation, and model release.
More details in thread!
Uri Laserson retweeted
Really excited to share work from our team at @Ginkgo, led by @AlyssaKMorrow, on ML guided 3’ UTR design.
biorxiv.org/content/10.1101/…
It's a great story of dataset generation, model training, generative design, in-vivo validation, and model release.
More details in thread!
Uri Laserson retweeted
biorxiv.org/content/10.1101/…
Nice benchmark of single cell "foundation models" (scGPT, scFoundation) and GEARS (a GNN model) further hyped as "virtual cell models" against linear baselines on perturbation prediction.
Long-story short: they can't beat the linear baselines. 1/
I’m going to be judging at @Lux_Capital, @EvoscaleAI & @envedabio’s Bio x ML hackathon!
Don’t miss out. Apply by Sept 22: hackathon.bio - open globally.
Uri Laserson retweeted
Big day today at @Ginkgo: we're pulling back the curtain on our proprietary biological foundation models and launching a model API!
Our API will support private and open models, and we're pricing it competitively to enable others to build on top of it.
Details in 🧵👇
Today, we’re thrilled to announce two exciting launches, powered by our partnership with @googlecloud: our first protein LLM, AA-0, and our new model API, a powerful tool designed to bring biological AI models directly to machine learning scientists.
hubs.la/Q02Q58BM0
Uri Laserson retweeted
We've started IND-enabling studies on a small molecule corrector for Rho-associated autosomal dominant retinitis pigmentosa (Rho-adRP). I thought it would be fun to spend some time walking through our approach and why we are excited. Long 🧵1/
Uri Laserson retweeted
OpenFold paper is now out in @naturemethods. Timely. I’ll say more about AF3 at the end of this thread, but first I wanted to highlight what’s new since our initial release. (1/9)
