🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Presenting JAMUN: a model that samples conformational diversity of proteins through Langevin dynamics on a learned smoothed learned manifold and denoising to the physical manifold, demonstrating transferability on a dataset of 2AA. This is just the start! arxiv.org/abs/2410.14621

LLMs are highly constrained biological sequence optimizers. In new work led by Angelica Chen & Samuel Stanton , we show how to drive an active learning loop for protein design with an LLM. 1/

we're still hiring fresh phd level MLEs for LLMs. roche.wd3.myworkdayjobs.com/ROG-A2O-GENE/j… as well as slightly seniors (LLMs) roche.wd3.myworkdayjobs.com/en-US/ROG-A2O-… and also infrastructure MLEs roche.wd3.myworkdayjobs.com/en-US/ROG-A2O-…

Say hi at EMNLP 2025 #EMNLP2024 ! Here in Miami to spread the good word about our job openings, look at tons of posters, and connect with old friends and new :)

My team at Prescient Design is hiring! 🎉 Keunwoo Choi, Kyunghyun Cho, and I are looking for ML engineers to develop our internal LLMs & foundation models for drug discovery. Feel free to DM or reach out to us at #neurips2024! Link: tinyurl.com/prescient-llm

we'll also hire 2025 summer interns for LLM product dev Prescient Design Genentech. it's taking time for the job description to be out, please feel free to share your resume & short intro to my `[email protected]` in the meantime.

1/🧬 Excited to share PLAID, our new approach for co-generating sequence and all-atom protein structures by sampling from the latent space of ESMFold. This requires only sequences during training, which unlocks more data and annotations: bit.ly/plaid-proteins 🧵

[1/n] Does AlphaFold3 "know" biophysics and the physics of protein folding? Are protein language models (pLMs) learning coevolutionary patterns? You can try to guess the answer to these questions using mechanistic interpretability. But the thing is, more often than not, we know

Research Intern position Prescient Design in Switzerland 🇨🇭💊 join our Frontier Research team in 2025! Apply now or share with anyone who might be interested: roche.wd3.myworkdayjobs.com/roche-ext/job/…

CDS PhD student Angelica Chen presents LLOME, using LLMs to optimize synthetic sequences with potential applications for drug design. Co-led by Samuel Stanton & Nathan C. Frey and with insights from Kyunghyun Cho, Richard Bonneau, and others at Prescient Design. nyudatascience.medium.com/language-model…

Protein engineering in low-data regimes with pairwise representations A 🧵on our latest preprint: DyAb predicts binding affinity with high accuracy using as little as 100 training examples and generates designs with > 10x improved binding 1/

We’ve started a new blog! 🎉 🫡 In the inaugural post,Keunwoo Choi, Sr. Principal Scientist and Head of our LM team walks through how to scale model training using Torchdata and its multi-threaded parallelism.

stay tuned for more proper, detailed and exciting cover of this preprint, but whoa i'm so proud of the team Prescient Design and our achievements on <Lab-in-the-loop therapeutic antibody design with deep learning>!

biorxiv.org/content/10.110…

Lab-in-the-loop therapeutic antibody design At Prescient Design Genentech we have spent 3+ years reimagining drug discovery. We built a machine learning system to design and execute experiments. Here's how it works and what we can do 🧵 1/

Congratulations to our cofounder Kyunghyun Cho for being the recipient of the Glen de Vries Chair of Health Statistics by New York University and NYU Courant!

We're hiring! Come work with me, Tim Sterne-Weiler, and the fantastic teams Genentech Comp Bio / Disco Onc & Prescient Design as a postdoc. Link to apply below 👇

We're hiring! 🎉 Join our Prescient Design Genentech team in NYC! We're hiring a Principal Software Engineer to lead the development of our flagship AI/ML Lab-in-the-Loop platform for therapeutic molecular design 🧬 Drive impact w/ full-stack skills (esp. front-end) as part of

Gave my PhD dissertation talk! 🧬 Tried my best to make AI for drug discovery & protein design accessible for ML folks: Beyond lucky & grateful to have had Pieter Abbeel Nathan C. Frey Kevin K. Yang 楊凱筌 Prescient Design Berkeley AI Research + many other collaborators & friends on this journey.🎈