Thank you ICML Conference for the opportunity to present M3G, a novel contrastive loss for multiview representation learning! 🖼️🎶💭 w/ Michal Klein, James Thornton & @CuturiMarco 🪄 Not at #ICML2024 (or missed us 😨) skip the FOMO and visit: mlrapp.github.io/m3g/

This allows scPRINT zero-shot abilities -meaning no fine-tuning required- such as artificially increasing the depth of the expression profile of a cell (denoising / zero imputation), predicting the cell type, disease, sequencer, and sex of a cell, as well as creating cell

Want to do a #postdoc in my group? I plan to support one ETH Zürich postdoc fellowship application (deadline September 1) See details below: grantsoffice.ethz.ch/submit/interna… If you meet the eligibility criteria, reach out to [email protected] with CV, cover letter, and brief project

If you care about medical #AI / LLMs / MLLMs, like working with H100s - H200s and enough office space, consider reaching out!

Protein language models learn the evolutionary rules of natural sequences, but for design we need methods to steer them. I'm excited to share some of our work on this from Profluent and introduce proseLM: protein structure-encoded language model. biorxiv.org/content/10.110…

We are excited to have Nate Bennett, co-founder, and scientist XairaTherapeutics to join us to share RFantibody! Happening on Tue 8/6 2:30-3:30pm at Stanford Gates Building Room 403 - join us if you are around!

Check out our comment piece with Joy Fan Achille Nazaret on breakthroughs in #AI for studying the tumor microenvironment. Thanks to Nature Methods for the opportunity! Columbia BME Columbia - Irving Institute for Cancer Dynamics Columbia Engineering Herbert Irving Comprehensive Cancer Center

"The encoding in biology is thus done across evolutionary time, in lineages, while the decoding is done by each new individual." A simple idea which could lead to some interesting new DL architectures. arxiv.org/abs/2407.15908

We are super excited to have Hannes Stärk and Bowen Jing from MIT to share generative models for biomolecules next Tue 2:30pm at Gates 403! They have pioneered many works in this space including DiffDock, EquiBind, AlphaFlow, etc. Join us!

Scupa: Single-cell unified polarization assessment of immune cells using the single-cell foundation model biorxiv.org/cgi/content/sh… #biorxiv_bioinfo

I'm looking for students to work on Genomics or some other topics under #AIforBioMed and #AIforScience 🔬💊🧬 If you're at Stanford🌲 and interested in joining @Jure's group at the Stanford AI Lab, please drop me a note and apply here: snap.stanford.edu/apply/index.php

We are pleased to announce six Stanford University research teams receiving this year's Hoffman-Yee Grants, a key initiative of Stanford HAI since our founding. Read about the scholars who are ready to shape the future of human-centered AI: stanford.io/3MdGMEz

Curious how we're using AI to transform biology? In my new perspective with Jonathan Gootenberg, we cover transformative AI applications including for protein engineering and a “virtual cell” for modeling biology and accelerating drug development Nature Methods rdcu.be/dQuwU

Thanks Hannes Stärk and Bowen for giving an amazing talk at our seminar! Lots of insights and hot takes! Recording is now live at our website: sites.google.com/view/ml-bio-re…

I am co-hosting a workshop on "AI for New Drug Modalities" at NeurIPS 24 together with Mengdi Wang ,Masatoshi Uehara Su-In Lee Maria Brbic Nicola Richmond @ehsanhra , Aviv Regev. We are currently accepting paper submissions on a broad spectrum of AI-related topics in drug

We are accepting submissions for the AI for New Drug Modalities workshop at #NeurIPS 2024! Workshop website: sites.google.com/view/newmodali… Submission deadline: October 1st 2024

Come and join one of the best AI teams in BioMed, working on LLMs! This team has published in Nature and won the Best Paper Award at ICLR this year 🚀

Dear community, we hope you are safe these days🙏 Towards our meeting, don’t miss the chance to share your sc-ience, poster submission deadline is coming up, Aug. 29th⌛️. 👉  forms.gle/biKowkrPhFVPo8… Looking forward to seeing you Sept, 26th, 10AM ELSC Brain, Givat Ram, JLM.

So excited to share our new preprint, “LLMs generate structurally realistic social networks but overestimate political homophily”! Joint work co-led by Alicja Chaszczewicz, along with Emma Wang, Maya Josifovska, Emma Pierson, and Jure Leskovec Paper: arxiv.org/abs/2408.16629

I am co-hosting a workshop on "AI for New Drug Modalities" at #NeurIPS 24 (along with Masatoshi Uehara, Aviv Regev, Su-In Lee, lesong , Nicola Richmond, Maria Brbic , Mo Lotfollahi, Ehsan Hajiramezanali and Xiner Li) We are currently accepting paper submissions on a broad spectrum of