We’ve been heads down @ArcadiaScience for a bit but the @arenabioworks news this week caused me to dump thoughts. hard things are hard; don’t be such a fucking hater. Reflections on parallels w our own institutional experiment here seemay.substack.com/p/big-experi...

I spend a lot of time talking to potential grantees about our open science policy. Some field notes here: open.substack.com/pub/seemay/p...

Want to get involved, share your ideas, or just stay in the loop with email updates? Let us know here: forms.gle/37pK2smABwbg...

A note in here for other science philanthropists… we have a chance rn to help scientists rethink systems, technical & operational. They’re game to take useful risks, let’s help them. Coming soon: more open science research, experimenting outside journals… seemay.substack.com/p/from-syste...

We are thrilled to be part of Project Diffuse, building infrastructure for the dynamic future of structural biology. We are helping to lead the modeling and encoding efforts of this project, including designing infrastructure that allows AI to learn from the full complexity of experimental data.

Announcing the Diffuse Project! We're unlocking protein dynamics through diffuse X-ray scattering - the overlooked signal that could revolutionize how we understand protein motion. seemay.substack.com/p/from-syste...

What’s the next PDB? Maybe it’s …the PDB. We just launched @diffuseproject.bsky.social a structural biology initiative exploring protein motion & rethinking how we generate and use experimental data. Quick 🧵👇 www.diffuse.science

After many yrs building internally @arcadiascience.com we're now able to partner more with others on cool organisms. You won't hurt my feelings if you don't read my post, but don't miss out on our first organismal spotlight animation featuring sea squirts -- just skip to the bottom! 🧵

A v common suggestion I get re: publishing work outside journals is "if you just get some elite scientists to do it, everyone else will do it." This is an instinct that may seem sound, but here's what I've found irl:

We did something radical that shouldn’t feel radical: we stopped funding science built for journals so that we can reimagine scientific publishing. First @arcadiascience.com. Now at @asterainstitute.bsky.social.

We @navigation.org are looking for proposals on how to move scientific publishing into the future. If you think we can do better, stop complaining and come build by applying AI towards open science os.nav.fund/ai-for-os/

Zoogle! Our new tool from @arcadiascience for picking research organisms. Even if you’re not a scientist, you should care that we spend >$50B/yr on clinical trials based on organismal models (>90% failure rate). Read more about Zoogle here: arcadiascience.com/blog/zoogle

Today we're sharing a new data initiative @asterainstitute.bsky.social near and dear to my microbiologist heart. W all the chatter about predictive models, what would it actually take to generate data that are broadly useful/interoperable for predicting functions? astera.org/request-for-...

I’ll forgive @wilbanks.bsky.social for dropping the P-word (just this once) — if you’re curious about what kinds of data initiatives we’re gettin after @asterainstitute.bsky.social give his talk a listen. More deets on some big projects coming soon 👀 youtu.be/4Xnlf-sI0DM

An example of how the limited and biased availability of data narrows the range of functional biology PLMs tap into for prediction and design research.arcadiascience.com/pub/result-p...

Here's another cool example from Matt Daugherty's group on how tracing evolutionary signal gives us insights into how bio inventions like vertebrate eyes were "engineered" in the wild (my only complaint is that there is no preprint for this Matt 😉). www.pnas.org/doi/10.1073/...

Picking the right research organisms/models in a data-driven way is a huge problem that will require all of us to fix -- no one denies this is a problem, no matter who you talk to (academia, pharma, etc). Yet we pour BILLIONS each year into clinical trials based on faulty animal models.

Another way to structure data is thru lens of evolution. People forget this was a key unlock for protein predictions (MSAs). There's not enough data/compute/$ for big AI promises without. Why I've devoted all my energy to old school, open evo tools @arcadiascience.com -- that's "big bio" IMO

The last 2 weeks have brought so many changes, I’ve found it hard to say anything that encapsulates — taking a work hiatus for the first time in my adult life, the election, giving birth. For now I’ll just intro to my latest biology experiment. Meet Hazel everyone👇🥰

Finally stepping into the 🔵 here, looking for people to follow. Interested in science, startups, and a sense of humor - recs?

1 more week before we dig into EA apps @ArcadiaScience. Know someone unapologetically TypeA who wants front row seats to building a new science org/biotech start-up? I hope they quickly grow into Chief of Staff. I value drive/generalist competence >>> experience/polish. jobs.lever.co/arcadiascien...

entrepreneurs also know about failing fast, but it sucks to not share learnings. i'm interested in funding ~10 icebox experiments thru @AsteraInstitute for start-ups that want to publish their science as/after they ramp down. hit me up: docs.google.com/forms/d/e/1F...

I’m bullish on the future of science, and we are putting money where our mouth is. Know someone stellar who can help us accelerate progress in open science? boards.greenhouse.io/navigationfu...

The Chow Lab is looking for multiple postdocs to work on Precision Medicine for rare disease! Opportunities to work with industry, patient foundations and physicians. Starting pay will be substantially higher than NIH minimum. DM or email me! https://t.co/gQA8peq22G

Do you know of any important scientific or public health efforts that are currently blocked by access to compute? (ie need cards in next 6 months) #plzRP