Adam Goulburn retweeted
🦾 Is biotech soon going to be full of zero- and one-employee biotech startups?
Join me, @AndrewE_Dunn + Dimension's @SimonDBarnett about what the weird future might look like.
Today 10:30am ET on @endpts Post-Hoc Live!
endpoints.news/post-hoc-live…
Adam Goulburn retweeted
So pumped to share our third volume of the @_DimensionCap Research magazine!
These articles were enjoyable to write alongside my research colleagues @SimonDBarnett and @bauer_lesavage
In this volume, we dive deep into the foundations and applications of AI models, from pre-training, post-training, and agentic use to the emerging bio data market.
This volume also features my first research article on applying autoresearch for training machine learning models to predict protein thermostability. I assessed how frontier models approach hyperparameter tuning and discussed how such an approach can be synergistic with traditional Bayesian optimization sweeping and expert-guided search.
Since the article’s publication in April, we have seen a tremendous amount of progress in recursive self-improvement for closed-loop scientific discovery, and this is only the beginning!
Our goal here is to present these broad topics in a rigorous yet accessible manner for everyone, no matter if you’re a frontier ML researcher or a weekend biotech warrior. We very much hope you enjoy!
Adam Goulburn retweeted
That's a wrap! Today, we're (@_DimensionCap) releasing the third volume of our Research Magazine.
Before anything else, I want to shout out my tremendous research colleagues Bauer (@bauer_lesavage) and Frank (@ChemVagabond), who were both core contributors to this volume.
We're also releasing a digital version:
dimensioncap.com/research-ma…
~~~
Compared to previous magazines, our third work is more heavily focused on machine learning. That's by design.
Dimension invests in all companies, small and large, spanning the continuum from compute to the life sciences. At our core, we love technical teams working on the hardest, most important problems.
That means data center infrastructure, new networking protocols, new silicon, inference optimization, physical AI, lean/tech-enabled biotechs, data generation, and more.
As such, we challenged ourselves to go deeper into the compute stack than ever before, and how it connects to various branches of science. This magazine is a small sliver of the proverbial 'research exhaust' that our team generates over the course of a few quarters.
~~~
One piece I want to highlight is Without Form and Void, which was my attempt at unifying my background in fluid mechanics, my admiration of clever inductive biases in ML, and a major industry chokepoint seldom talked about in CS circles, which is bioprocess scaling.
It's also the first piece I've tried writing with this much history (back to Galileo).
~~~
We hope you like Vol. 3 and we can't wait to show you all what's in store in Vol. 4!
Adam Goulburn retweeted
Excited to share our third volume of the @_DimensionCap Research magazine!
These articles were a blast to write with my research colleagues @SimonDBarnett and @ChemVagabond, and I feel so lucky to get to brainstorm, debate, learn, and write about these topics alongside them both on a daily basis.
You’ll probably notice a theme to a lot of these articles that we have written throughout 2026: the chronicles of us diving head first into AI model training, the data needed to feed them, and emergent applications of training at the frontier.
One of my favorite articles I wrote this year was centered around the bio data market and why biological training data has such unique considerations compared to text data. Since I published this one back in June, the demand for high-quality, therapeutic-relevant bio data has become even more obvious, and I don’t see this demand slowing down. The impact that AI is and is going to have in bio is becoming increasingly apparent every day, and we can’t get there without the right datasets.
Our goal here is to make these topics accessible and interesting to all, no matter if you’re a frontier ML researcher doing this work daily or brand new to the space and just trying to get a sense of it all. We very much hope you enjoy!
Adam Goulburn retweeted
Today, in collaboration with Anthropic, we’re excited to share rapid initial progress towards an antibody treatment for food allergy, which affects over 200 million people worldwide, discovered with the help of Claude.
At Divergence Labs, we believe that AI can unlock the next generation of antibody therapeutics with more effective mechanisms than before. Such mechanisms are urgently needed in food allergy, which involve overcoming one of the tightest affinity protein pairs in immunology, IgE and its receptor FcεRI, on mast cells.
Treatment with Xolair—the only approved antibody for food allergy—sequesters circulating IgE, but mast cells remain sensitized for weeks to months due to the extraordinarily slow dissociation of IgE from FcεRI.
We envision a treatment that actively pulls IgE off of FcεRI, without waiting for natural dissociation. Like picking a lock, this requires the right combination of geometry and force.
Our research team, working with Claude, ideated on mechanisms to accomplish this disruption, and converged on an antibody format with two arms with different functions and epitopes. Within one month, we designed, synthesized, and experimentally confirmed the biophysical function of the two arms, which we are now assembling into full therapeutic formats.
Adam Goulburn retweeted
Dimension portfolio company, Divergence Labs
cc: @bjing2016
Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own.
In doing so, we’ve learned much more about how Claude can support the many stages of drug development.
In this blog post, we share some early results from these efforts, and describe how this work fits in with our wider ambitions in the life sciences.
anthropic.com/research/early…
Adam Goulburn retweeted
Excited to announce our partnership with @rgrchen, @amlakhan and the team at @onyxbio!
We believe that precision immunology is one of the most interesting directions of new medicines and that multi-modal, longitudinal datasets from real patients are needed to power this field.
Onyx is building a unified data platform for immunology - combining clinical records, multi-omics, sample banking, and patient reported outcomes. This platform helps researchers to understand how immune diseases progress, why patients respond differently to treatment, and uncover new ideas for medicines. At the limit, these data will power the buildout of a entirely virtual immune model to simulate human immunology with high precision.
We have known Roger for over a decade and are excited to reunite! Nearly a thousand patients are already enrolled onto the platform and looking forward to much more to come!
onyx.bio/
Adam Goulburn retweeted
Excited to introduce Onyx and announce our $8M seed round led by Dimension to build a virtual immune system!
Onyx has always been a story of connection. The first connection was to my cofounder @amlakhan, a deeply curious technologist who I’ve been fortunate to call a friend for 19 years now. I've always said that working together was a cornerstone of starting Onyx, and it truly has been one of the best decisions I've ever made.
Connection is also at the heart of what Onyx does. We believe AI is key to making biological complexity tractable, ultimately transforming life sciences into an engineering discipline. But that requires the right data. AI performance compounds with context, and richer biological context comes from more connected data.
In biology, such context is often missing: molecular data, clinical history, and change over time are typically captured in isolated fragments. Onyx provides the substrate that connects them, pairing genomics, transcriptomics, proteomics, and metabolomics with rich clinical histories. By studying these layers together in people over time, our data platform traces how real human biology changes in response to infection, inflammation, and treatment. Seeing how these trajectories differ across people brings us closer to understanding what drives disease—and to developing precision medicines that work better for real people.
Yet connecting data is only possible because of the people who have connected with our mission. Nearly a thousand members have already joined our research studies. They are more than research participants: they are difference-makers transforming how we understand some of humanity’s most complex and chronic diseases. I always say that our work is for people, but the truth is that people make our work possible. That connection comes full circle, and at Onyx, people will always come first.
Finally, as we raised our oversubscribed round, we sought more than just business partners. We wanted investors we felt a true connection to—not merely sources of capital, but co-conspirators in creating meaningful change. To that end, we feel incredibly fortunate to have joined forces with @_DimensionCap, @haystackvc, @refactor, @standard_vc, @robotventures, and many more.
Now back to building!
Today we're introducing Onyx, a research collective building a virtual immune system: a model of how real people respond to infection, inflammation, and treatment.
We're launching with an $8M seed round led by Dimension Capital.
onyx.bio/news/introducing-on…
Adam Goulburn retweeted
Excited to announce @_DimensionCap's partnership with @WKightlinger and the team at Ridge Bio to develop next-generation conjugate medicines!
Ridge has built a computational enzyme design model to create custom conjugation and linker systems. Payload stability and programmatic release are two important levers in conjugate drugs, and Ridge has shown compelling data in both of these areas.
Ridge's portfolio of enzymes and linkers are both compatible with existing ADCs and unlocks entirely new programs directed towards novel targets. Excited for the journey ahead and much more to come.
ridgebio.com/
Welcome to the team Darsh!
Today we’re announcing Darsh Patel has officially joined Dimension. @darsh_cp spent the last 4 years at Bessemer Venture Partners, and will help lead investments across the frontiers of science through to cutting edge compute and infrastructure. Welcome to the team Darsh!!
Adam Goulburn retweeted
Introducing the Tamarind Model Router.
You want to know which molecular AI model will work best for this specific input, not which model wins on average.
Tamarind runs hundreds of scientific AI models, and picks the best tool for the job.
buff.ly/lzL1wNY
Adam Goulburn retweeted
This is why I'm in the game. An afternoon spent with @getjonwithit @minmodammar and @JunoRavin is unbelievably energizing.
They're some of the smartest, warmest, and most ambitious thinkers I've ever had the pleasure of meeting.
@_DimensionCap couldn't be more excited to help scale @lanyon_ai as they take on some of the hardest challenges at the interface of mathematics, AI, and our physical world.
More to come on this later ~ but in a nutshell, we are still in the earliest stages of our species' usage of machine intelligence.
As these systems begin writing critical pieces of code, and soon as they spill into our physical world, it will become more urgent than ever to install the right primitives.
In Lanyon's case, that means figuring out how to ensure that AI-generated code/simulations ~cannot~ be wrong. Otherwise, small errors can hide, silently compounding until the brutal realities of the physical world tear them apart.
We're immensely excited to be partnering with @SimonDBarnett and @zavaindar of @_DimensionCap, @TaylorCSargent of @IndustriousVC, and @blader, as we deliver on the promise of formally verifying the physical universe, and of closing the last remaining gaps between the computational, mathematical, and physical worlds.
I wrote a short post about this exceptional group of people, and why we're so thrilled to be working with them, as we continue to build Lanyon. Link below 👇
Adam Goulburn retweeted
We're immensely excited to be partnering with @SimonDBarnett and @zavaindar of @_DimensionCap, @TaylorCSargent of @IndustriousVC, and @blader, as we deliver on the promise of formally verifying the physical universe, and of closing the last remaining gaps between the computational, mathematical, and physical worlds.
I wrote a short post about this exceptional group of people, and why we're so thrilled to be working with them, as we continue to build Lanyon. Link below 👇
Last month, right around the time we officially came out of stealth, we also closed our initial $10.6 million fundraising round, led by @_DimensionCap, with participation from @IndustriousVC.
To coincide with today's press release and the official announcement of our investors, our CEO @getjonwithit has written a short blog post introducing these new partners, and how they fit into the wider Lanyon story.
Adam Goulburn retweeted
Agents are your new users. Learn from them.
AX Cloud is now in research preview: managed infra, agents and data for experimenting with coding agents as users.
Run unbiased simulations of coding agents at scale. This allows you to understand how agents discover and use products. Yours, your partners' and your competition's. Use this to optimize your product, craft go-to-market materials or develop your technical partnerships.
Get started for free on managed infrastructure, then upgrade when you're ready to parallelize at massive scale. Every run starts from a fresh sandbox. No bias. No context pollution. No cheating.
Run your first experiment in minutes: docs.514.ax/getting-started
Adam Goulburn retweeted
I've joined @_DimensionCap as an operating partner.
I'll be building cool stuff with people I love and trust.
Here's a bit more about what I'll be doing and why I chose to join this incredible team for this season of my career.
linkedin.com/pulse/climbing-…
Welcome to @_DimensionCap (and the mid forties 😜) @RecursionChris
Can't wait to build with you!
Exclusive: Founding Recursion CEO @RecursionChris is now an operating partner at @_DimensionCap, a life sci + computation VC firm fresh off an $800M third fund
@endpts spoke w/Chris + @zavaindar about the move:
endpoints.news/exclusive-for…
Adam Goulburn retweeted
Over the weekend, in between CEOing, I found time to write up a Research Note on using Lanyon to explore general relativistic electrodynamics: the extension of Maxwell’s equations to curved spacetimes, including the environments around spinning black holes.
Lanyon was able to one-shot the solvers and produce end-to-end proofs of correctness (~25,000 lines of Lean, ~12,000 lines of formally verified C) in ~5 minutes, and then proceeded to run high-fidelity simulations of black hole magnetospheres and to accurately model the electrodynamic processes of black hole jet-launching in full general relativity (Wald equilibrium, Blandford-Znajek solution, etc.).
Back in 2024, implementing solvers like this was a multi-month research project for me (culminating in our 2024 paper “A Tetrad-First Approach to Robust Numerical Algorithms in General Relativity”), and we never even considered attempting to formalize their correctness in Lean because it would likely have taken years. Now Lanyon can do the whole task in a few minutes. Exciting stuff!
GitHub and Research Note links below.
Formally verified general relativity: simulating the electrodynamics of black hole magnetospheres and the mechanisms of black hole jet-launching, all implemented and verified autonomously with Lanyon.
~12,000 lines of C, ~25,000 lines of Lean proof, ~150 correctness theorems, ~5 minutes.
Solving Maxwell's equations in full general relativity, including options for hyperbolicity-preservation and divergence error-correction, using a second-order spatially accurate numerical scheme. Including full proofs of convergence, stability, and geometric consistency for the implementation in arbitrary spacetime metrics. Then applying the solver to the curved spacetime region around a rapidly-spinning black hole.
Lanyon derived the equations, implemented the algorithms, and produced end-to-end proofs of correctness for everything. All within ~5 minutes, and all fully autonomously, from just a single natural language prompt. Extreme environments? Complex geometries? Not a problem.
GitHub link and technical deep dive from @getjonwithit below 👇
🎯
New York City Mayor Zohran Mamdani and his ideological groupies are playing with antisemitic fire.
on.wsj.com/4wic56z
