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Gioele La Manno

@gioelelamanno.bsky.social

Professor at #EPFL - #RNAVelocity inventor - Laboratory of Brain Development and Biological Data Science. Single-cell and spatial biologist studying brain development and lipids. #ERCStg investigator

59 Posts2262 Follower441 Folgt
Gioele La Manno@gioelelamanno.bsky.social · 5mo ago

Thrilled to receive the 2026 Boehringer Ingelheim FENS Research Award. Exciting to see our work on brain development recognized by the European neuroscience community. Grateful to my mentors, my lab, and my family. Award lecture at FENS Forum Barcelona in July! www.fens.org/news-activit...

Winner of the Boehringer Ingelheim FENS Research Award 2026 announced - Federation of European Neuroscience Societies

The Federation of European Neuroscience Societies (FENS) and Boehringer Ingelheim are delighted to announce the recipient of the Boehringer Ingelheim FENS Research Award 2026: Gioele La Manno.

fens.org

Albert Dominguez Mantes@albertdm.bsky.social · 5mo ago

Very happy that MuViT, our (CVPR 2026!) work on learning across spatial scales in microscopy w transformers, is out! Check Martin's thread for a nice walkthrough :) Big thanks to my advisors @maweigert.bsky.social @gioelelamanno.bsky.social! 🖥️: github.com/weigertlab/muvit 📜: arxiv.org/abs/2602.24222

Martin Weigert@maweigert.bsky.social · 5mo ago

Excited to share our new paper (CVPR 2026 🚀): "MuViT: Multi-Resolution Vision Transformers for Learning Across Scales in Microscopy" which enables local predictions to use global context. Great work led by @albertdm.bsky.social & another fun collab w @gioelelamanno.bsky.social! @scadsai.bsky.social

Giovanni D’Angelo@giodang.bsky.social · 10mo ago

This is a massive undertaking by a courageous group of experimentalists and computational scientists. I am honored to have contributed to this. #lipidtime chenges time zone today

Gioele La Manno@gioelelamanno.bsky.social · 10mo ago

🧠 The Lipid #Brain Atlas is out now! If you think #lipids are boring and membranes are all the same, prepare to be surprised. Led by @lucafusarbassini.bsky.social with Giovanni D'Angelo's lab, we mapped membrane lipids in the mouse brain at high resolution. www.biorxiv.org/cgi/content/...

Stein Aerts@steinaerts.bsky.social · 10mo ago

Amazing work Gioele et al. Your talk about the lipid brain atlas and how it connects within a grand vision, this morning at VIB.ai, was truly spectacular. We were honoured to hear the story on the day of the preprint :)

@lauracapolupo.bsky.social · 10mo ago

Happy to finally see The Lipid Brain Atlas out! Lipids are not boring at all so, check it out! Amazing team effort between computational and experimental work, led by @lucafusarbassini.bsky.social with @gioelelamanno.bsky.social and @giodang.bsky.social labs. Proud to be part of it. Lipids rule!

Gioele La Manno@gioelelamanno.bsky.social · 10mo ago

🧠 The Lipid #Brain Atlas is out now! If you think #lipids are boring and membranes are all the same, prepare to be surprised. Led by @lucafusarbassini.bsky.social with Giovanni D'Angelo's lab, we mapped membrane lipids in the mouse brain at high resolution. www.biorxiv.org/cgi/content/...

Gioele La Manno@gioelelamanno.bsky.social · 11mo ago

I am deeply honoured to have been recognized by the European Research Council with a #StartingGrant. @erc.europa.eu With this support, my team and I will launch #MOVIOLA. Our goal is to understand how human neural progenitors decide their fate during brain development.

Two life sciences ERC Starting Grants at EPFL

Milena Schuhmacher and Gioele La Manno at EPFL’s School of Life Sciences have received European Research Council (ERC) Starting Grants. Former EPFL researcher Can Aztekin (now at Max Planck), is also ...

actu.epfl.ch

Gioele La Manno@gioelelamanno.bsky.social · 11mo ago

Excited to share #uMAIA, our method to create 4D lipidomic atlases, now published in @natmethods.nature.com We demonstrate that with uMAIA, the field is ready for atlas-level analyses capable of uncovering histological metabolic heterogeneity in both space and time. [1/2]

Unified mass imaging maps the lipidome of vertebrate development - Nature Methods

uMAIA is an analytical framework designed to enable the construction of metabolic atlases at high resolution using mass spectrometry imaging data.

nature.com

Ignacio_Rubio-Somoza@ignaciorubiosomoza.bsky.social · 12mo ago

And he made it again!...tour the force from JIa-Wei´s Wang lab using comparative sc-transcriptomes, and developing new analytical tools, to tackle evolutionary trajectories of plant cell types!. Amazing work as usual! www.cell.com/cell/abstrac...

A unified cell atlas of vascular plants reveals cell-type foundational genes and accelerates gene discovery

A cross-species single-cell atlas highlights a core subset of cell-type foundational genes associated with major vascular plant cell types, enabling the identification of hidden cell types and the dev...

cell.com

Sten Linnarsson@sten.linnarsson.org · 12mo ago

A little over two weeks to the deadline! 20 positions, generous startup funding, a great community and fantastic infrastructure. Come join us!

Sten Linnarsson@sten.linnarsson.org · last yr.

A major KI initiative to recruit new assistant professors with outstanding proposals in all areas of medicine, biomedicine and public health. We offer an amazing research environment, great colleagues and generous startup packages. Check it out and get working on your applications! (repost please!)

Gonçalo Castelo-Branco@gocastelobranco.bsky.social · 12mo ago

Join us at the FENS Single-Cell & Spatial Omics Winter School with: @sarabiz86.bsky.social @rongfan8.bsky.social @gokcegroup.bsky.social @gioelelamanno.bsky.social @sj-marzi.bsky.social @jplopez-atalaya.bsky.social Ana Falcão Florian Rosenberger Gabriel Baró Bosiljka Tasic Barbara Treutlein

Federation of European Neuroscience Societies - FENS@fens.org · last yr.

🌟 Registration is now OPEN! 🌟 Join the 2025-2026 #FENS-Hertie #WinterSchool and explore this year's topic – Single-cell and Spatial Omics to Understand Brain Heterogeneity! 🔬 📍 Alicante, Spain 🗓️ 11-17 Jan 2026 🔗 https://loom.ly/RM55lFQ

Nature Methods@natmethods.nature.com · last yr.

An analysis shows that current deep learning models do not beat linear baselines in predicting gene perturbation effects, thus emphasizing the importance of further method development and evaluation. @const-ae.bsky.social @wkhuber.bsky.social @s-anders.bsky.social www.nature.com/articles/s41...

Deep-learning-based gene perturbation effect prediction does not yet outperform simple linear baselines - Nature Methods

The analysis presented in this Brief Communication shows that, despite their complexity, current deep learning models do not outperform linear baselines in predicting gene perturbation effects, thus e...

nature.com