JURA is launching a new target intelligence dashboard called MESA jurabio.com/mesa with a nice interactive case study from our recent TCRm campaigns. Go check it out -- we'll open to crowd-sourced targets soon. @jura.bsky.social

Prediction is overhead when verification is cheap. We've spent years building a system where verification is cheap -- generationally so. This changes the logic of discovery in ways that are easy to underestimate. I tried to write a little about what that means: www.jurabio.com/blog/onebill...

One billion simultaneous experiments — JURA Bio, Inc.

For decades, drug discovery has been constrained by a simple fact: experiments are expensive, so you have to guess well. We built a system where you don't have to guess — testing a billion distinct m...

jurabio.com

Paper: arxiv.org/abs/2510.16612 Blog: www.jura.bio/blog/leavs Team: @lizbwood.bsky.social @highvariance.bsky.social @mgollub.bsky.social

Accelerated Learning on Large Scale Screens using Generative Library Models

Biological machine learning is often bottlenecked by a lack of scaled data. One promising route to relieving data bottlenecks is through high throughput screens, which can experimentally test the acti...

arxiv.org

Our LeaVS preprint is up! We demonstrate empirically & prove theoretically that LeaVS can dramatically accelerate learning, increasing the effective dataset size by orders of magnitude. Really useful biological assays have intractable bottlenecks: make the most of what you can get. @jura.bsky.social

Eli Weinstein@eliweinstein.bsky.social · 12mo ago

We're excited to present LeaVS, a method to scale up learning for protein function models. It is based on the co-design of wet lab experiments and in silico training.

How do you train AI on protein data when functional sequences are astonishingly rare? Traditional iterative optimization fails because most measurements show zero. Our newly announcing learning system, LeaVS, shows a way.

Elizabeth Wood, PhD@lizbwood.bsky.social · last yr.

You can read more in our post at www.jurabio.com/blog/leavs; preprint forthcoming. @jura.bsky.social @eliweinstein.bsky.social @mgollub.bsky.social @highvariance.bsky.social

You can read more in our post at www.jurabio.com/blog/leavs; preprint forthcoming. @jura.bsky.social @eliweinstein.bsky.social @mgollub.bsky.social @highvariance.bsky.social

LeaVS: Accelerating learning for biological AI — JURA Bio, Inc.

A fundamental lesson of modern AI is that scale is essential: training bigger models on bigger datasets unlocks new capabilities. A fundamental lesson of AI engineering is that scaling up isn't trivia...

jurabio.com

A fundamental lesson of modern AI is that scale is essential: training bigger models on bigger datasets unlocks new capabilities. A fundamental lesson of AI engineering is that scaling up isn't trivial: it is not just a matter of spending more money and resources.

Our head of ML research Eli Weinstein @eliweinstein.bsky.social is recruiting the first PhD student for his new group at @dtu.dk in Denmark. Help create the cutting edge of machine learning methods for molecular sciences. Full job posting in link.

Eli Weinstein@eliweinstein.bsky.social · last yr.

I'm looking for my first PhD student! We will push the frontiers of probabilistic machine learning for the molecular sciences, and study how to design new algorithms that exploit the unique properties of molecular systems to learn about the world. efzu.fa.em2.oraclecloud.com/hcmUI/Candid...

So excited about this - we did iterative generative design at large scale with variational synthesis, and got human scFv candidates against some of the hardest therapeutic targets around.

Elizabeth Wood, PhD@lizbwood.bsky.social · last yr.

The biggest challenge for AI in biology isn't just models, it's the data used to train them. Standard biological data isn't built for AI. To unlock generative AI for drug discovery, we must rethink how we generate and capture data. 1/

The biggest challenge for AI in biology isn't just models, it's the data used to train them. Standard biological data isn't built for AI. To unlock generative AI for drug discovery, we must rethink how we generate and capture data. 1/

This week is the BIO conference in Boston's Seaport. If you are in town for it and are interested in meeting to learn more about @jura.bsky.social please feel free to send a DM! Would love to see you.

I think we’ve now manufactured more AI drug designs than OpenAI has generated responses, but plenty of bottlenecks remain to be innovated upon ‘til delivering the safest and most effective therapeutic is as easy as clicking print. DM if you’re interested in joining us at @jura.bsky.social.

Congratulations to our Director of Machine Learning Research, who will be starting is group at @dtu.dk chemistry this fall.

Eli Weinstein@eliweinstein.bsky.social · last yr.

Thrilled to announce that I am joining DTU in Copenhagen in the fall, as an assistant professor of chemistry. My research group will focus on fundamental methodology in machine learning for molecules.

If there's such a thing as AI for drug design & development on easy mode, then it's probably in being able to build and test every design. Check out our journey to the 10 quadrillion AI-designed antibody library now; we're going to be sharing some big updates soon: ▶️ www.jura.bio/blog/variati...

Our Head of ML Research @eweinstein.bsky.social will be presenting tomorrow at CMU if you're local; the talk is also available on zoom if you follow the link.

Elizabeth Wood, PhD@lizbwood.bsky.social · 2y ago

Tomorrow -- another chance to learn about variational synthesis, probabilistic experimental design methods, & ways to capture scaled functional data for model training: this time with zoom access for those of you remote, 1pm at @cmu.edu Computer Science. Details at: www.cs.cmu.edu/calendar/181...

At UPenn CIS today, JURA's Head of ML Research will be presenting variational synthesis (among other methodological advances) @eweinstein.bsky.social

Elizabeth Wood, PhD@lizbwood.bsky.social · 2y ago

Today at UPenn's CIS Seminar: a chance to hear about variational synthesis, probabilistic experimental design methods, and ways to capture modern ML-scale functional data for biology: events.seas.upenn.edu/event/13596/

Excited to be one of the keynote speakers at this weekend's Future of Care 2025 conference, hosted at The Rockefeller University in NYC. If you're in town, it would be wonderful to see you there! Details in comments.

This Thursday, @eweinstein.bsky.social is traveling to the University of Chicago to give a joint Statistics & Data Science colloquium. If you've been interested in learning more about #variationalsynthesis and are local, I encourage you to attend! Event link: stat.uchicago.edu/events/event...

Excited to see a lot of our team joining 🦋! If you're interested in following them, you can find them at: @lizbwood.bsky.social @eweinstein.bsky.social @mgollub.bsky.social @highvariance.bsky.social Plus our scientific advisor: @lestermackey.bsky.social Hopefully many more to come!

Looking forward to this event tomorrow. It's been so wonderful visiting Basel so far: it probably won't come as a surprise, but the city is really gorgeous and with wonderful trams. Here are two pictures from the university's botanical gardens as the sun was setting.

Elizabeth Wood, PhD@lizbwood.bsky.social · 2y ago

I feel lucky that I get to travel to Basel next week and see @jura.bsky.social's European HQ for the first time in person. This event is already sold out, but please let me know if you're based in Switzerland and would like to meet up while I'm in town -- both Basel and Zurich!

New @jura.bsky.social merch dropped today! Dm to reserve yours. Very generous one-size-fits-all.

Tomorrow in Baltimore, head to the Johns Hopkins University Computer Science Department Seminar Series for more on #VariationalSynthesis with @eweinstein.bsky.social. Full details: www.cs.jhu.edu/event/cs-sem...

I'm really happy to re-introduce myself here 🦋. At @jura.bsky.social, we are building an AI-native biotech so that we can more quickly create safer, more effective genomic medicines for more and more patients. Recently, we announced: www.jurabio.com/blog/variati... And: www.jurabio.com/blog/caire

Introducing: Manufacturing aware generative model architectures — JURA Bio, Inc.

Today, we introduce Variational Synthesis , the first manufacturing-aware generative AI model architecture for biological sequence models. Generative variational synthesis models can be used to build...

jurabio.com

Today (Nov 12) is the last day to apply to the #TermeerFellows program. If you are a first-time founder building a patient-focussed company, I couldn't recommend the program, or its surrounding community, more highly. Here's the link: termeerfoundation.slideroom.com#/login/progr... Qs? DM me.

Julie came from Boston to pose for @jura.bsky.social headshots this weekend. Hopefully we’ll have some nice news coming out this week or next! In the meantime, here’s one of the pictures that didn’t make it…

Real-life picture from our new startup space in Basel! And every time I've met with a local representative, I've left with a box of chocolates. #DreamsDoComeTrue