We are recruiting! If you are passionate about technology development, protein engineering, computational design, directed evolution, chemical biology - please reach out!
(The setting is pretty nice too…)
www.nature.com/articles/s41...
We just preprinted DropSynth-Gold where we replaced PCA with Golden Gate Assembly (GGA) inside emulsion droplets, extending multiplexed gene synthesis to ~3 kb constructs assembled from up to 12 fragments while preserving the scalability of DropSynth. 1/n
I will probably be hiring either a PhD or a Postdoc in the near future. If you are interested in deep biochemical history or molecular mechanisms of evolution please get in touch.
This is why I can’t stand LinkedIn.
Excited to share Sampleworks led by @karsonchrispens.bsky.social with @diffuseproject.bsky.social. It's a modular framework connecting structure predictors to experimental data and guidance methods. Swap predictors or guidance methods. All open and made to be built upon. t.co/fvNHH3gfVu
Excited to present sampleworks: a modular platform for generating biomolecular conformational ensembles by coupling AI structure predictors to experimental data. Our first publication of @diffuseproject.bsky.social, led by @karsonchrispens.bsky.social + Marcus Collins. thestacks.org/publications...
Radial is live! A new organization at @asterainstitute.bsky.social bringing together structural biologists, engineers, and ML scientists to redesign how we do science. @statnews.com has the story: www.statnews.com/2026/03/11/r...
This Perspective discusses current challenges in macromolecular ensemble prediction and the infrastructure and methodological advances needed to overcome these barriers.
www.nature.com
Chenxin Li, PhD
Aggregating many experiments into one zero-shot protein language model score obscures that current models cannot meaningfully rank a set of fit mutations or prioritize new-to-nature functions
@clauswilke.com
www.biorxiv.org/content/10.6...
DropSynth-Gold: Golden Gate Assembly in Emulsions Extends Multiplexed Gene Libraries to Greater Lengths https://www.biorxiv.org/content/10.64898/2026.05.29.728538v1