Egbert Castro

building @ascentbio | prev. PhD in ml x bio @yale

[Ascent Bio @AscentBio]

We're open sourcing the core agentic loop of Faraday!

The exciting pace of building agentic science has led to the emergence of many AI scientist efforts, ranging in scale and complexity. It's great to see the design space of agentic scientists so rapidly explored and key points of leverage emerge in this space. We’ve been fortunate to be a part of this shared effort introduce a new paradigm of research to scientists across academia and industry.

With this open AI scientist framework, we hope that scientists will be able to launch their own Faraday agents for their research tasks and explore ways agentic science can move forward. Today, you can use open-source Faraday to do many everyday research tasks with optional extensions like integrating custom tools or scalable hypothesis testing.

[Egbert Castro @egbertcastro]

really nice to see test-time scaling via latent search. Huge congrats to the team!

[Christian Dallago @sacdallago]

🧵 We ran the largest head-to-head benchmark of protein binder design methods in the wet lab.

Project page: https://t.co/eSG5qcCPQB

1 million designs. 127 targets. RFdiffusion, BindCraft, BoltzGen, and Proteina-Complexa — all tested side by side.👇

[Rohan Pandey @khoomeik]

labs will publish details on arch, optim, objectives, scaling, kernels, literally everything except data

and academia will be astounded for the hundredth time, wondering to itself where the secret sauce is

[Egbert Castro @egbertcastro]

@owl_posting ask it to draw a pelican on a bicycle and you’ll know

[Egbert Castro @egbertcastro]

Link to post: https://t.co/fJEGASedum

[Egbert Castro @egbertcastro]

new blog post! It’s a long overdue dive into the Ether0 reasoning model with a deeper analysis of the GRPO objective in science.

[Egbert Castro @egbertcastro]

From https://t.co/7MaOJBXFyG

[Egbert Castro @egbertcastro]

expecting life sciences to change a lot by the end of 2026

[Egbert Castro @egbertcastro]

really impressive lap-in-the-loop fitness landscape navigation work by @tranvinq

[Vince Tran @tranvinq]

The hardest part of protein engineering isn't just finding good mutations – it’s deciphering which ones combine synergistically.
Today in @ScienceMagazine, we present MULTI-evolve, a framework for rapid multi-mutant protein engineering, validated across three diverse proteins.

[Egbert Castro @egbertcastro]

link to post: https://t.co/wgiK3ZmI6p

[Egbert Castro @egbertcastro]

new blog post

scientific research in 2026

[Ascent Bio @AscentBio]

Faraday can now run background agents. Run multiple experiments in parallel

[Egbert Castro @egbertcastro]

exciting new capability coming to @AscentBio soon 👀

[Egbert Castro @egbertcastro]

@devcayer @AscentBio Lets chat!

[Egbert Castro @egbertcastro]

@SGRodriques who’s making the aoe4 fc build order benchmark

[Egbert Castro @egbertcastro]

Try it today https://t.co/60OmchhSvs

[Egbert Castro @egbertcastro]

Today we opened up access to the @AscentBio platform, letting scientists experience what agentic science can be.

As a former PhD student, it is exciting to envision an era where researcher productivity can 10x.

While not perfect, anyone who’s used Claude code or cursor can see that there’s incredible value in being able to iterate over ideas much quicker. Quality goes up and notably, the pace of progress spikes. In a field where time matters, researchers deserve a tool that can allow for deep domain expertise to be more fully leveraged

[Ascent Bio @AscentBio]

We are excited to announce that Faraday, our AI scientist for drug design, is now available in public beta.

Agentic reasoning. Frontier Models. Seamless code execution.

Starting today, researchers and drug developers worldwide can register and begin using Faraday to accelerate their discovery workflows.

Public beta is now open at https://t.co/6jCeba6WFa

[Egbert Castro @egbertcastro]

anyone building agents for bio should read this

[Lance Martin @RLanceMartin]

https://t.co/iGYM1PJnxv

[Kevin Bijan Givechian @KevinGivechian]

My MD-PhD work is officially out today in Nature Machine Intelligence @NatMachIntell, co-advised by Smita Krishnaswamy @KrishnaswamyLab and Akiko Iwasaki @VirusesImmunity at @Yale. The project centered around multimodal ML for immunogenicity modeling, tweetorial below!