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Very cool work from Yasha Ektefaie on how to evaluate generalizability of ML models especially in the age of foundation models for biology

🥳🥳🥳 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

Thank you to D. E. Shaw Research for inviting me to their Doctoral and Postdoctoral Fellowship! It was fantastic meeting the fellows and learning more about the impressive MD and ML research at DESRES. Their 3D printed proteins made for some very cool table center pieces. 🧬🧪

How can we build AI agents to empower scientific discovery? 💡 Check out our recent perspective!

The AI for Science workshop 🧬🧪 will be on tomorrow ICML Conference. We have curated wonderful group of speakers, panelists, and posters. Looking forward to seeing you there!

Max Jaderberg from Isomorphic Labs is now talking AI for Science ICML Conference in Hall A8. Come along to hear more about AlphaFold 3! 🧬 #ICML2024

Our recent perspective has been published in Cell! Checkout our discussion on how we can empower biomedical research with AI agents 🦾 cell.com/cell/fulltext/…

New in the Kempner's Deeper Learning blog: Ada Fang and Marinka Zitnik introduce ATOMICA, a geometric foundation model that enables reasoning about biological systems with atom-level precision. bit.ly/KempnerATOMICA #AI #ML #MedTech

Swapped the peace and quiet of Boston for the hustle and bustle of NYC🗽 I’m spending my summer at Prescient Design Genentech working on antibody design methods with AI 🧬 If you’re in NYC and want to chat about AI x biology feel free to DM me!