Alicia Kaestli

serial co-founder building AI in biotech @FlagshipPioneer 🧬 | Previously ML @Amgen, omics @decodegenetics | @ETH_en & @MIT | 2:58 marathon 🏃‍♀️-er

[Bowen Jing @bjing2016]

It’s getting hard to keep track of all the new open-source cofolding models coming out. To help everyone stay up to date, I'm excited to share https://t.co/Gc9PaF6GoY, a PDB-synced leaderboard of open models, updated weekly. All predictions are available to view & download! (1/4)

[Alicia Kaestli @akaestli]

@bjing2016 @sarahgurev I love this. So needed. Congrats @bjing2016 !

[Ankit Gupta @agupta]

was talking to some frontier lab people about this today

think the realistic path to AI "solving" disease would be AI making fundamental discoveries in physics, which lets us make applied discoveries in sensor/assay design, which lets us probe biological systems at microscopic resolutions non-invasively at 1/1000th the current cost

[Alicia Kaestli @akaestli]

I‘m so proud to have been able to contribute an article to this book! It’s looking gorgeous!

[Niko McCarty. @NikoMcCarty]

Our @AsimovPress book on the history of the molecular biology lab is nearly finished. It's currently 455 pages, with 100+ images. Some previews below.

We've spent the last 6+ months making this book as beautiful, and detailed, as possible. And we're excited for you to hold it.

[Alicia Kaestli @akaestli]

@beccajcarlson @BobbyHollings @deliverome @beckypferdehirt @radialscience @AsteraInstitute Congrats @beccajcarlson !!

[Becca J. Carlson @beccajcarlson]

AI has transformed how we design therapeutics.
But targeted delivery is still an expensive guessing game.
Today @BobbyHollings and I are launching @deliverome with @beckypferdehirt and @radialscience at @AsteraInstitute, to fix that. 🧵

[Alicia Kaestli @akaestli]

See more here :)
https://t.co/vRmRnDgPfY

[Alicia Kaestli @akaestli]

I recently finished @_brianpotter's book The Origins of Efficiency. I loved it! It got me thinking - where are we waiting in the life sciences? How can we improve our efficiency towards getting from early stage research to an actual drug for patients.
https://t.co/nPkDw9Uxt2

[Alicia Kaestli @akaestli]

The dream is where you can industrialize the entire cycle of creating a drug - from industrialized data creation at scale to potentially models that reason at scale about what to do next towards a clinical asset.

[James Zou @james_y_zou]

You can now give your agent deep knowledge of millions of papers in one line with #paperclip!📎

>8 million papers natively indexed for agents.
Much more thorough + often 10x faster than standard deep research.
Just add the paperclip mcp (instruction below).

[Alicia Kaestli @akaestli]

Congrats @michellearning and @medra_ai ! Can’t wait to check out the new lab in SF

[Michelle Lee @michellearning]

The next industrial revolution isn’t software. It’s science.

[Alicia Kaestli @akaestli]

@beccajcarlson @RenPhilanthropy Congrats @beccajcarlson !!

[Alicia Kaestli @akaestli]

I'm also excited about the impact @adaptyvbio, @btnaughton via biomodals, and @tamarind.bio are having on making computational pipelines, and the protein design field in general, reproducible + scalable

[Alicia Kaestli @akaestli]

Inspired by this post on agent-led growth from @sonyatweetybird, I wrote about how we need to rethink how we record, structure, and share data from the lab to unlock agent-led labs.

Post: https://t.co/pxXL4c7ySJ

[Sonya Huang 🐥 @sonyatweetybird]

sales led growth -> product led growth -> agent led growth

[Alicia Kaestli @akaestli]

I believe we need to make papers more reproducible, perhaps through "machine readable formats," so that we can actually reproduce results from literature (inspiration from https://t.co/Aw1Ju7CrDD)