Ryan Morhard

Member @CFR_org ; Adjunct Professor @GeorgetownSFS

[CEPI @CEPIvaccines]

📣CEPI has today launched a new Biosecurity Strategy aimed at bolstering global health security and underscoring its commitment to tackling emerging epidemic threats🌍

➡️https://t.co/93HOetS5Fa

[Ryan Morhard @RyanMorhard]

RT @jrkelly: Excited to launch our newest service -- Ginkgo Datapoints! 🧬⚗️🧪

Over the past 10 years @Ginkgo has built a ton of amazing tec…

[Thomas Kurian @ThomasOrTK]

We’re excited to partner with @Ginkgo to bring their protein LLM and open API to both enterprises and individual scientists, which will help drive innovation in life sciences. https://t.co/m6jEjD5bIm

[Jason Kelly @jrkelly]

Excited to launch our newest offering -- Ginkgo Model API and the first publicly available model trained on Ginkgo's in-house data assets, AA-0! 🧬🎉

Over the past 10 years @Ginkgo has built a ton of amazing technologies from automation to long DNA construction to complex -omics to proprietary data and AI assets.

These tools had been kept in-house and only accessible to Ginkgo scientists -- in the remainder of this year you will see us announce the opening of these tools -- recently opening our automation to be placed in your lab and now opening up our AI tools to you over the cloud. AA-0 was trained on the 2 billion+ protein sequences in Ginkgo's codebase which have low overlap with the sequences available in public data sets.

So today if you are a developer or bioinformatician and you want to build on top of AA0-650M or ESM2-650M give it a try here!

https://t.co/WrHtamgoPR

We’ve structured our costs to make it easy for you to jump in, experiment, and get predictions without worrying about high fees or royalties. Our initial models will have a free tier, and our introductory pricing will be approximately $0.18 per million tokens. This means for a protein with around 500 amino acids, users should be able to get predictions on 2,000 sequences for roughly 20 cents.

Our first protein language model release supports two use-cases initially:
1. Generation via Masked Language Modeling: given a sequence of amino acids with one or more <mask> tokens, the model will complete the sequence.
2. Embedding calculation: Calculate the final hidden layer of the trained model to extract valuable representations for downstream tasks. To begin, our model returns the mean-pooled representation across the length axis.

This is just the start -- expect more open-source as well as models trained on proprietary Ginkgo data to be added to our API regularly by @agupta and Ginkgo's AI team. And let us know what else would be helpful to you -- both new models or biological data sets that you'd like to see available for training -- we are building these tools for you, help us make them better!

I'd like Ginkgo's platform to be easier (and cheaper) than downloading models and running on your own cloud instance. We're lucky to be partnered with @googlecloud to make this fast and easy for the biotech community! 🧬🤝💻

Ultra large lab data assets coupled to LLMs is the most exciting new tool I've seen in the last 20 years of bioengineering -- can't wait to see what you all grow with it! 🌱🌱

[Jason Kelly @jrkelly]

Super excited to officially launch our newest product line -- Ginkgo Automation!🤖🧬🤖

Over the past 10 years @Ginkgo has built a ton of amazing technologies from automation to long DNA construction to complex -omics to proprietary data and AI assets.

These tools had been kept in-house and only accessible to Ginkgo scientists -- in the remainder of this year you will see us announce the opening of these tools -- putting them directly in your research lab or at your fingertips via the cloud.

So today if you want Ginkgo's robotics directly in your lab -- you can get them! Our RAC robots are modular, fast to install at your site, and controlled by easy-to-use, modern cloud software.

We believe that high-content, high-throughput data generation at low cost is a game-changer for many types of biotechnology research.

To learn more DM me or sign up at the bottom of this page:
https://t.co/1TsQllFqoP

We've been fortunate to be have a small number of sites where we beta-tested deploying and serving external partners including @srikosuri and the team at @OctantBio over the last couple of years.

Check out Octant's incredible robotic drug-hunter, Hypatia, built on top of Ginkgo automation:
https://t.co/xGiWLeojiw

We can't wait to see what other amazing products and services you all build with Ginkgo Tools.

More to come!!

[Ginkgo Bioworks @Ginkgo]

Today we’re excited to announce our new partnership with Vitales, a subsidiary of Uby Agro, to accelerate the development and launch of two new Generation 1 biocontrol products.

https://t.co/Kak0OmGXoD

[Ryan Morhard @RyanMorhard]

Sharing @AmeshAA s annual piece on DA Henderson - timely and as important as ever. https://t.co/E9xPp4Naes

[Patrick Boyle — e/🦀 @p_maverick_b]

Some personal (aka professional) news: I'm starting a new position as Chief Scientific Officer at @Ginkgo 🧵

[Tom Bollyky @TomBollyky]

For the second time in two years, WHO declares #mpox a public health emergency of international concern, spurred by emergence of new variant in hard to operate border region on DRC

“We’re just picking up pieces of what’s actually happening because surveillance is not robust”

[Matthew F. McKnight @matt_f_mcknight]

"I am encouraged to see Massachusetts own @Ginkgo_Biosec @Ginkgo at the forefront of these efforts to strengthen US Biosecurity." @JakeAuch
https://t.co/A0E3OFGJJq

[Ginkgo Bioworks @Ginkgo]

Today on Foundry Theory! Complex things get simpler when you can build them from parts. So what are the right parts for building biology?
https://t.co/0PkQsGqt52

[NSCEB @biotech_gov]

Like infrastructure for water, energy, and transportation, the U.S. needs stronger biological data #infrastructure to support #biotechnology advancements and maintain global leadership.

Read more ➡️https://t.co/lJpfv4J09c

[Georgetown SFS @georgetownsfs]

We are so proud to share our #1 ranking from @ForeignPolicy+@global_wm! Our master's programs are #1 across all of the constituencies surveyed — IR scholars, policymakers+think tank staff. Our undergrad is ranked #1 by policymakers+think tank staff, and #3 by IR scholars.

[CEPI @CEPIvaccines]

Two years since CEPI and partners set out its ambitious 100 Days Mission plan, how close are we to realising it?

@kkelland's latest long read explores where progress has been made and identifies where gains are still required. 🧵

https://t.co/pRRaLRpG1Q

[Matthias Berninger @berninger71]

Ursula von der Leyen presented her political guidelines for the next European Commission. I'm pleased that biotechnology has been given such a prominent place in them. She emphasizes that she wants "Europe to make the most of the biotech revolution". (1/2)
https://t.co/htpoYNWfW9

[Ginkgo Bioworks @Ginkgo]

Congratulations to our partners @MicrobaOfficial on this exciting announcement!

"From the more than 3 million data points generated, 6 therapeutic leads with compelling disease-relevant activity have been selected for further pre-clinical development."

https://t.co/Tz6lzsqPAd

[Rebecca Katz @RebeccaKatz5]

Excited this is out! Policy epidemiology!

[Matt Watson @BioAndBaseball]

Fact Sheet: Biden-Harris Administration’s Actions to Advance American Biotechnology and Biomanufacturing | OSTP | The White House https://t.co/X4G8TLOX6Y

[The Good Food Institute @GoodFoodInst]

🌟 GFI is hiring a Vice President of Impact! Are you an experienced leader exhilarated by strategic planning and bringing teams together around a common vision? Adept at cross-cultural communication and engagement? This #remote role may be for you 👉 https://t.co/Nl57XU9P7w

[BaseballHistoryNut @nut_history]

Willie Mays might’ve just left us but “The Catch” will live on forever