Stanford AI+Biomedicine Seminar

We’re excited to have @EggsAndSam7 presenting CellVoyager: An Autonomous AI Agent for scRNA-seq Dataset Exploration at tomorrow’s seminar! 📍CoDa E160 | 4/14 2:30pm | Stanford + Zoom

details here: linkedin.com/posts/avtar-si…

Passionate about functional genomics and love microscopy? You really don't want to miss this opportunity 👇

We are excited to welcome Sarthak Jain, ML scientist at Profluent Bio! Sarthak will present “E1: Retrieval-Augmented Protein Encoder Models” tomorrow 📍CoDa E160 | 3/10 2:30pm | Stanford + Zoom

We are thrilled to welcome Prof. Alex K. Shalek (@shaleklab), director of IMES and the Health Innovation Hub at MIT! He will present “Identifying & Counteracting the Impact of Environment Stresses on Tissue Dysfunction” 📍CoDa E160 | 3/9 3pm | Stanford + Zoom

We are excited to have @richardwshuai presenting "Ensemble-conditioned protein sequence design with Caliby reinforces structural constraints" next week! 📍CoDa E160 | 2/24 2:30pm | Stanford and Zoom

@rlsayar @silvirouskin @BoWang87 please avoid sharing the zoom link -- for those interested please join our mailing list

@silvirouskin @Stanford_AI_Bio @BoWang87 stanford.zoom.us/j/91456589716?… from zoe piran

We are thrilled to have Dr. @BoWang87 presenting "BioReason: Toward Biological Foundation Models That Reason" at our next seminar! 📍CoDa E160 | 2/10 2:30pm | Stanford + Zoom

New research from Stanford University, Kumo, and SAP, co-authored by Jure Leskovec, advances how relational foundation models learn from data. Paper: arxiv.org/pdf/2602.04029 Code and data: github.com/snap-stanford/…

Getting ready to speak at the @worldmodel_26 at Mila alongside @ylecun, @Yoshua_Bengio and @sherryyangML :) Excited to see you online or in person! 🤪

@hznus @yusufroohani @Mingze7316 please join the mailing list for more information.

@Stanford_AI_Bio @yusufroohani @Mingze7316 Is this seminar open to the public? Would love to join virtually.

We are excited to have @Mingze7316 presenting “Stack: In-context learning of single cell biology” tomorrow! 📍CoDa E160 | 2/3 2:30pm | Stanford + Zoom

Our next seminar will feature Danila Bredikhin, PhD, presenting "Building scverse: an open-source ecosystem for single-cell multimodal omics"! 📍CoDa E160 | 1/20 2:30pm | Stanford + Zoom

Excited to kick off a new year of seminars with Professor @GoodZinaida presenting "Artificial intelligence systems to advance engineered T cell immunotherapy designs" ! Tuesday 1/13/26, 2:30pm, CoDa E160, Stanford.

We are excited to share RamanOmics, the first multimodal framework integrating snRNA-seq, spatial transcriptomics, and label-free Raman imaging to map the spatial biochemical–molecular architecture of aging, senescence, and tissue repair. #NIH SenNet biorxiv.org/content/10.648…

The #AI Revolution for Structured Data is HERE. 🤯 I spoke with @bigdata about Relational Foundation Models (RFMs) and why they are replacing 30-year-old ML approaches for enterprise data. No more 6-month feature pipelines. Instant, zero-shot predictions from your warehouse. Up to 30% perf improvement (e.g., DoorDash's recommendations). This is a must-listen for anyone working with tabular data and ML. Listen to the full episode: thedataexchange.media/jure-lescovec-… kumorfm.ai/get-started

Delighted to share our work on “Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems,” tomorrow at @Stanford_AI_Bio. Learn more about PROTON, a Pre-trained RelatiOnal TransfOrmer for Neurology. 📍Gates 415 or Zoom 🗓️ Tuesday, December 9th ⏰ 1:30PM PT

Join us tomorrow for our next AI+Biomedicine seminar, featuring @ayushnoori ! Ayush will present “Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems” 📍12/9 1:30pm | Gates 415 | Stanford & Zoom

Biology emerges from interactions at different physical scales, from molecular to cellular to multicellular layers. Introducing PULSAR🌌, a multi-scale and multicellular foundation learns how genes impact cellular states and how groups of cells coordinate to collectively define health and disease. @jure @YanayRosen @StanfordAILab @AllenInstitute 🧵1/n:

🚀We’re looking for amazing scientists and engineers to join @PolymathicAI (NYC)! Want to work on scientific foundation models + ML for physics, biology, astronomy, solar physics & more? Want to contribute to frontier research in AI with the most brilliant and fun crowd? Please sign up on our interest form: 👉forms.gle/dGvq1dhZuu1AmS… #Hiring #MachineLearning #Science