Preprint out arguing that we should build the techology to translate (compile) molecularly annotated connectomes into dynamics. I think this is incredibly important. arxiv.org/abs/2603.25713

📢 Applications are open! This meeting brings together scientists using data-driven #AI to analyze + model neural circuits and uncover how the brain performs complex computations. 🧠 Apply by May 28 ➡️ janelia.news/NAI26 @computingnature.bsky.social @sinzlab.bsky.social @srinituraga.bsky.social

Pleased to share our new paper forthcoming in @icwsm.bsky.social! We introduce a novel framework to measure value expressions in social media posts at scale, leveraging personalization to handle the inherent subjectivity of human values. arxiv.org/abs/2511.08453

Check out @cfusterbarcelo.bsky.social's latest cool work! Domain shift, we are watching you 👀👀👀

Graph neural networks recover interpretable circuit models from neural activity saalfeldlab.github.io/flyvis-gnn/ @HHMIJanelia @AllenInstitute to be presented at @CosyneMeeting

Looking forward to presenting our work on connectome-constrained modeling at #cosyne2026

In two hours we (with gunnar blohm and jordan matelsky) will run a webinar talking about our philosophy for doing good science and becoming good at science. And the tool planyourscience.com I wrote to help. If you want to join us you can sign up here:t.co/OJOQe1Ly18

Made it across the pond to Heidelberg for the AI & Biology conference at EMBL, then Lisbon for COSYNE. Looking forward to catching up with people and talking connectomics, AI for bio-image analysis, and more.

We opened 4 PhD positions at @humantechnopole.bsky.social together with Polimi (see 👇). My lab offers a PhD project on "Computational Morphogenesis": use state-of-the-art machine learning methods together with realistic simulations to build digital twins of developing tissue. Apply by March 26.

From @bdpedigo.bsky.social: a super efficient, highly reliable, and very generalizable method for mesh structure classification, applied here to spine detection across basically every synapse onto a cell in the MICRoNS dataset.

Join us in building foundational datasets and models for microscopy with @jakobtroidl.bsky.social and many others AI Engineer Pre-Training: lnkd.in/eyEEV5nm AI Engineer Post-Training: lnkd.in/eShVQ3y9 Data Engineer Data: lnkd.in/eCvm58xH Data Engineer Pipelines: lnkd.in/ec6qGJkX ai.hhmi.org