Elizabeth Wood, PhD
@lizbwood.bsky.social
Founder & CEO @jura.bsky.social | Full-stack probabilistic machine learning for the development of genetic medicines | NYC & Basel & Boston
Pinned
The race to first-in-human is accelerating globally. The obvious response is to scale up: more automation, more cells, more sequencing, more capital. This will until it doesn't.
At @jura.bsky.social we've been building approaches beyond the obvious.
At @jura.bsky.social we've been building approaches beyond the obvious.
December 3, 2025 at 9:36 AM
The race to first-in-human is accelerating globally. The obvious response is to scale up: more automation, more cells, more sequencing, more capital. This will until it doesn't.
At @jura.bsky.social we've been building approaches beyond the obvious.
At @jura.bsky.social we've been building approaches beyond the obvious.
December 1, 2025 at 10:45 AM
The race to first-in-human is accelerating globally. The obvious response is to scale up: more automation, more cells, more sequencing, more capital. This will until it doesn't.
At @jura.bsky.social we've been building approaches beyond the obvious.
At @jura.bsky.social we've been building approaches beyond the obvious.
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
@jura.bsky.social
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.
October 21, 2025 at 5:40 PM
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
@jura.bsky.social
For every Nobel that goes to a criminally under-recognized woman scientist (Brunkow, Karikó), or fails to go (Candy Lee), a week of mourning and reform for an academic system wherein you can do Nobel-prize-worthy-work and still end up without a conceivable path to being a professor.
BREAKING: The Nobel Prize in Physiology or Medicine has been awarded jointly to Mary E. Brunkow, Fred Ramsdell, and Shimon Sakaguchi "for their discoveries concerning peripheral immune tolerance"
Stay tuned for more.
#NobelPrize
Stay tuned for more.
#NobelPrize
October 6, 2025 at 10:13 AM
For every Nobel that goes to a criminally under-recognized woman scientist (Brunkow, Karikó), or fails to go (Candy Lee), a week of mourning and reform for an academic system wherein you can do Nobel-prize-worthy-work and still end up without a conceivable path to being a professor.
Let's say all of a sudden you found yourself with 100,000+ wetlab validated, de novo AI designed, fully human GLP1R binding antibodies? Could you turn the patent suite into a financial instrument? Anyone who thinks about this you could connect me to?
September 25, 2025 at 5:28 PM
Let's say all of a sudden you found yourself with 100,000+ wetlab validated, de novo AI designed, fully human GLP1R binding antibodies? Could you turn the patent suite into a financial instrument? Anyone who thinks about this you could connect me to?
Reposted by Elizabeth Wood, PhD
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.
Our newly announcing learning system, LeaVS, shows a way.
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
@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...
www.jurabio.com
September 22, 2025 at 5:07 PM
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.
Our newly announcing learning system, LeaVS, shows a way.
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.
September 22, 2025 at 12:15 PM
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.
Reposted by Elizabeth Wood, PhD
🚨 One week left to apply!
I am hiring a fully funded PhD fellow and a postdoc to work on membrane protein structural biology and pharmacology at Univ Copenhagen
Come work with a great team and exciting projects in a collaborative environment!
🔗 Links to the ads in comments
#CryoEM #AcademicJobs
I am hiring a fully funded PhD fellow and a postdoc to work on membrane protein structural biology and pharmacology at Univ Copenhagen
Come work with a great team and exciting projects in a collaborative environment!
🔗 Links to the ads in comments
#CryoEM #AcademicJobs
August 3, 2025 at 8:21 PM
🚨 One week left to apply!
I am hiring a fully funded PhD fellow and a postdoc to work on membrane protein structural biology and pharmacology at Univ Copenhagen
Come work with a great team and exciting projects in a collaborative environment!
🔗 Links to the ads in comments
#CryoEM #AcademicJobs
I am hiring a fully funded PhD fellow and a postdoc to work on membrane protein structural biology and pharmacology at Univ Copenhagen
Come work with a great team and exciting projects in a collaborative environment!
🔗 Links to the ads in comments
#CryoEM #AcademicJobs
Reposted by Elizabeth Wood, PhD
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...
efzu.fa.em2.oraclecloud.com/hcmUI/Candid...
PhD scholarship in Machine Learning for Molecules - DTU Chemistry
Advance large scale data generation for chemical and biological AI in a 3 year PhD. Work on the frontier of active learning, and develop novel probabilistic machine learning techniques for experiment ...
efzu.fa.em2.oraclecloud.com
July 24, 2025 at 8:25 PM
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...
efzu.fa.em2.oraclecloud.com/hcmUI/Candid...
Want to work at the frontier of active learning and AI-guided experimentation? @eliweinstein.bsky.social is hiring PhD students at @dtu.dk DTU Chemistry.
Full job link: efzu.fa.em2.oraclecloud.com/hcmUI/Candid...
Thanks for re-sharing widely!
Full job link: efzu.fa.em2.oraclecloud.com/hcmUI/Candid...
Thanks for re-sharing widely!
PhD scholarship in Machine Learning for Molecules - DTU Chemistry
Advance large scale data generation for chemical and biological AI in a 3 year PhD. Work on the frontier of active learning, and develop novel probabilistic machine learning techniques for experiment ...
efzu.fa.em2.oraclecloud.com
July 24, 2025 at 5:39 PM
Want to work at the frontier of active learning and AI-guided experimentation? @eliweinstein.bsky.social is hiring PhD students at @dtu.dk DTU Chemistry.
Full job link: efzu.fa.em2.oraclecloud.com/hcmUI/Candid...
Thanks for re-sharing widely!
Full job link: efzu.fa.em2.oraclecloud.com/hcmUI/Candid...
Thanks for re-sharing widely!
Reposted by Elizabeth Wood, PhD
Totally agree that standard biological data isn't built for AI. We need to think strategically about how we build better, less biased richer datasets specifically for machine learning
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/
July 23, 2025 at 1:11 PM
Totally agree that standard biological data isn't built for AI. We need to think strategically about how we build better, less biased richer datasets specifically for machine learning
Reposted by Elizabeth Wood, PhD
Thrilled to demonstrate VISTA, our platform for creating high quality, AI-ready biological data loops at massive scale!
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/
July 23, 2025 at 7:34 AM
Thrilled to demonstrate VISTA, our platform for creating high quality, AI-ready biological data loops at massive scale!
Great coverage of VISTA by the wonderful @faylinphd.bsky.social over at GEN: www.genengnews.com/topics/artif...
Read about VISTA: www.jurabio.com/blog/vista
Read about VISTA: www.jurabio.com/blog/vista
Jura Bio’s AI Data Loop Enables Large-Scale De Novo Antibody Design
VISTA, an AI-controlled data loop system, guides large-scale antibody design from scratch for applications in cancer therapy.
www.genengnews.com
July 22, 2025 at 1:43 PM
Great coverage of VISTA by the wonderful @faylinphd.bsky.social over at GEN: www.genengnews.com/topics/artif...
Read about VISTA: www.jurabio.com/blog/vista
Read about VISTA: www.jurabio.com/blog/vista
When AI drives your data generation, learning is more efficient and effective. Take a deep dive into VISTA:
July 22, 2025 at 1:11 PM
When AI drives your data generation, learning is more efficient and effective. Take a deep dive into VISTA:
Reposted by Elizabeth Wood, PhD
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.
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/
July 22, 2025 at 1:04 PM
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.
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/
July 22, 2025 at 12:30 PM
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/
Reposted by Elizabeth Wood, PhD
We can make population genetics studies more powerful by building priors of variant effect size from features like binding. But we’ve been stuck on linear models! We introduce DeepWAS to learn deep priors on millions of variants! #ICML2025 Andres Potapczynski, @andrewgwils.bsky.social 1/7
June 25, 2025 at 2:03 PM
We can make population genetics studies more powerful by building priors of variant effect size from features like binding. But we’ve been stuck on linear models! We introduce DeepWAS to learn deep priors on millions of variants! #ICML2025 Andres Potapczynski, @andrewgwils.bsky.social 1/7
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.
June 16, 2025 at 2:18 PM
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.
Reposted by Elizabeth Wood, PhD
“The search is on for 25 researchers from around the world in Lund University’s largest ever international recruitment drive. The main focus will be on AI research and other areas in which the University has a strategic focus.”
www.lunduniversity.lu.se/article/lund...
www.lunduniversity.lu.se/article/lund...
Lund University launches largest-ever global recruitment drive for researchers
Lund University. Lund University’s body of researchers is getting reinforcements. If all goes according to plan, no fewer than 25 new researchers from all over the world will arrive in Lund this autum...
www.lunduniversity.lu.se
June 12, 2025 at 7:07 PM
“The search is on for 25 researchers from around the world in Lund University’s largest ever international recruitment drive. The main focus will be on AI research and other areas in which the University has a strategic focus.”
www.lunduniversity.lu.se/article/lund...
www.lunduniversity.lu.se/article/lund...
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.
DM if you’re interested in joining us at @jura.bsky.social.
June 12, 2025 at 3:47 PM
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.
DM if you’re interested in joining us at @jura.bsky.social.
Reposted by Elizabeth Wood, PhD
If I was applying for PhD positions, Eli’s group would be at the top of my list.
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.
My research group will focus on fundamental methodology in machine learning for molecules.
May 29, 2025 at 5:49 PM
If I was applying for PhD positions, Eli’s group would be at the top of my list.
I couldn't be more excited to be moving to Copenhagen in the fall with @eweinstein.bsky.social as he joins @dtu.dk as an assistant professor of chemistry.
@jura.bsky.social wilI add one more to our sites in Boston, Basel and Oslo. If you're building a startup in CPH I'd love to hear from you!
@jura.bsky.social wilI add one more to our sites in Boston, Basel and Oslo. If you're building a startup in CPH I'd love to hear from you!
May 29, 2025 at 5:14 PM
I couldn't be more excited to be moving to Copenhagen in the fall with @eweinstein.bsky.social as he joins @dtu.dk as an assistant professor of chemistry.
@jura.bsky.social wilI add one more to our sites in Boston, Basel and Oslo. If you're building a startup in CPH I'd love to hear from you!
@jura.bsky.social wilI add one more to our sites in Boston, Basel and Oslo. If you're building a startup in CPH I'd love to hear from you!
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.
My research group will focus on fundamental methodology in machine learning for molecules.
May 29, 2025 at 5:05 PM
Reposted by Elizabeth Wood, PhD
We are looking for someone to join the group as a postdoc to help us with scaling implicit transfer operators. If you are interested in this, please reach out to me through email. Include CV, with publications and brief motivational statement. RTs appreciated!
May 27, 2025 at 1:23 PM
We are looking for someone to join the group as a postdoc to help us with scaling implicit transfer operators. If you are interested in this, please reach out to me through email. Include CV, with publications and brief motivational statement. RTs appreciated!
Don’t upload other people’s confidential manuscripts or grants to third party tools without permission.
May 26, 2025 at 11:12 AM
Don’t upload other people’s confidential manuscripts or grants to third party tools without permission.