Johan Winnubst
@JohanWinn
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Lead Scientist @E11BIO. Former postdoc with @nspruston and lead of MouseLight project @HHMIJanelia. Developing technologies to study connectomics and NeuroxAI.
Hayward, California
Joined May 2015
Today we are sharing the progress we have made towards dramatically reducing the cost of whole-brain connectomes! We believe this is vital for unlocking new disease treatments and human-like AI. Extremely proud of the team we have built at E11 Bio🔥!
E11 Bio is excited to share a major step towards brain mapping at 100x lower cost, making whole-brain connectomics at human & mouse scale feasible (🧠→🔬→💻). Critical for curing brain disorders, building human-like AI systems, and even simulating human brains. 1/N 🧵
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RT @Convergent_FROs: Scientific research has been held back by the very systems driving it. There’s no shortage of intelligence among our s…
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Please send in an application if you are passionate about moonshot neuroscience and want to broadly accelerate science through a high-impact project with a tight-knit team. (3/3)
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Congratulations Andrew!
Congratulations to Andrew Saxe (@SaxeLab, @swc_neuro & @GatsbyUCL), who has been promoted to Professor at UCL 🎉
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I often like to (half jokingly) tell people that we at E11 Bio are the SpaceX of biology, so I'm really excited to see this article by @ashleevance (Elon Musk biographer)! Excellent article explaining the challenges facing the field and our approach to overcome them.
Some very, very big news from Brain Land this morning. The lab @E11BIO may have found a path to create full brain maps faster, cheaper and better than ever before. This could be a very big deal because . . .
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@SGRodriques @ZBrownCEO Did not expect this, actually happened to catch this race yesterday! Must have been a good one to see in person :)
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I worry people are not mindful enough of this but the language we use can really shape our thinking!
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@GrosOane Yeah that makes sense, I guess you would need to use the ray distance info somehow? My thinking on this is that Ome-Zarr is really used for TB-PT data scales, so cant keep it in memory. Would be great if you could even just add a example of a strategy to deal with that.
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@tmacrina I wonder how much of data of published papers is actively accessed anyway (I'm sure it's a depressing number) so I wonder if this responsibility shouldn't logically fall with the major publishers.
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