We’re hosting a TechBio meetup Stanford University with StanfordBiotechGroup on April 22nd!

Join us for a fun evening of discussions about AI x drug discovery, food, drinks, and a talk from Brian Hie on Evo.

Register for the event on Portal here: portal.valencelabs.com/events/post/sb…

Excited to team up with Valence Labs for a techbio meetup on April 22nd! Join us for a night of engaging discussions on AI + biomedicine! Don’t miss the chance to hear @brianhie deliver a keynote talk on Evo!

Register at lu.ma/techbio

Thrilled to share that my lab is looking for postdocs! In partnership with Chan Zuckerberg Initiative, we're focusing on developing massive biomedical foundation models to create an AI-powered virtual cell. Dream of harnessing the power of 1,000 H100s? Apply now at: snap.stanford.edu/apply/index-po…

🥳🥳🥳 We are excited to share that AI for Science workshop will be held again with ICML Conference 2024, Vienna! This time, we focus on scaling in AI for Science (as a new dimension to theory, methodology and discovery)! Tentative schedules can be found: ai4sciencecommunity.github.io/icml24.html

Excited to share our PlaNet 🌏method that reasons over population variability, disease biology, and drug chemistry using a massive clinical knowledge graph. We apply PlaNet to predict outcomes of clinical trials.

w/ Michi Yasunaga Prabhat Agarwal Jure Leskovec
medrxiv.org/content/10.110…

SATURN performs cross-species integration and analysis using both single-cell gene expression and protein representations generated by protein language models. Jure Leskovec Yanay Rosen Maria Brbic Yusuf Roohani

nature.com/articles/s4159…

This fall, I’ll be on job market looking for postdoc and faculty positions in US! My research interests span in AI + physics (science). If there’re opportunities to present in your school, institute, group, seminar, workshop etc., I really appreciate it! 🥹kindxiaoming.github.io

New in Nature Methods!

We introduce TISSUE, an uncertainty-aware framework for integrating and using #spatial #transcriptomics . Conformal prediction + spatial biology enhances downstream analyses and discovery 💯

Paper: rdcu.be/dyqAj
Code: github.com/sunericd/TISSUE
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Our third NeurIPS essay is now live, this time focused on drug-target interaction (DTI) prediction. 💊

Drug repurposing (or repositioning) is a fascinating topic that seems to be getting more traction. Here were some of my main takeaways from the talks:

(🔗 Link at End)

Our latest in nature:

Convergence of coronary artery disease genes on endothelial cell programs

nature.com/articles/s4158…

Incredible work led by Gavin Schnitzler and Helen Kang — a long-standing partnership between our lab and Raj Gupta

My comments below:

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Excited to share our annual review on 🔥 research in AI for science from 2023!

🚀 Exciting News! Our blog “AI for Science in 2023: A Community Primer” is now live! In this blog, we delve into how AI intersects with various scientific fields - from Chemistry, Biology, Physics, Computer/Math. Science, Neuroscience to Earth Science.
medium.com/@AI_for_Scienc…

Awesome blog about exciting graph ML works in the past year! Also checkout my reviews on the graph learning for system biology and robustness sections!

Introducing LOWE: an LLM-Orchestrated Workflow Engine for executing complex drug discovery workflows using natural language.

The next evolution of the Recursion OS, LOWE has access to proprietary data, integrates with Recursion’s labs, and more 🧵

valencelabs.com/lowe

Our preprint on the development of PerturbView, an Optical Pooled Screening (OPS) technology, is out! Massive thanks to Eric Lubeck for driving the project with me, along with our fantastic mentors, Orit Rozenblatt-Rosen, Levi A. Garraway and Aviv Regev
biorxiv.org/content/10.110… 1/

Thanks Ahmed for having me and really enjoyed the discussion! Here is also the link for the slide: tinyurl.com/cf-gnn-slides