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Pedro J. Goncalves

@ppjgoncalves.bsky.social
948 followers 638 following 9 posts

Computational Neuroscience and Machine Learning. Group Leader at VIB.AI (vib.ai/en) and Associate Professor at KU Leuven (www.kuleuven.be/english/kuleuven). Affiliated with VIB-KUL CN (vibneuroscienceleuven.be). More details at goncalveslab.sites.vib.be

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Pedro J. Goncalves @ppjgoncalves.bsky.social · 14/09/2026
Exciting faculty positions at the interface of biology and ML/AI. Come join our awesome community! @viblifesciences.bsky.social @kuleuvenuniversity.bsky.social
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Alana Darcher @alanadarcher.bsky.social · 30/07/2026
🎉 *extremely* excited to share our human single neuron + movie dataset is out in #ScientificData! 📄 Human neuron activity during an 83-minute movie from 2,286 neurons and 29 patients 🔗https://www.nature.com/articles/s41597-026-07955-0 1st public dataset from @humansingleneuron.bsky.social!🧵
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Mark D Humphries @markdhumphries.bsky.social · 10/06/2026
The Group for Neural Theory is an enviable place to work. At the heart of Paris’s Left Bank, it’s a literal stone’s throw from the Pantheon And it has a remarkable training record On the occasion of its 20th birthday celebrations this week, here’s a further sample of its alumni… gnt20.github.io
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julienbrandoit.bsky.social @julienbrandoit.bsky.social · 23/05/2026
My first journal paper is out in PLOS Computational Biology! 🎉 We do SBI, but not in parameter space. We perform it on interpretable feedback gains, making inference fast, interpretable, and degeneracy-aware. lnkd.in/eZC4CYXK #ComputationalNeuroscience #SBI @neuroenguliege.bsky.social
The figure illustrates the pipeline. The top panel is distributions in the DICs space. The middle panel is the signal input-output reconstruction. The bottom panel is the box plot distributions of conductances.
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Pedro J. Goncalves @ppjgoncalves.bsky.social · 21/05/2026
Welcome Dmitry! It is awesome to have you join us at @vibai.bsky.social!
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Luigi Acerbi @lacerbi.bsky.social · 20/04/2026
1/ One of the issues of fully amortized inference / pretrained simulator-based inference is that you are stuck with the "prior" training distribution. What if you change your mind after training? In PriorGuide, one of our papers at ICLR this week, we allow the prior to be changed at runtime!
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VIB.AI @vibai.bsky.social · 20/03/2026
Strong showing from the Gonçalves Lab at COSYNE 2026 👏 Three abstracts accepted, with posters by Hayden Johnson and Karthik Sama, and a talk by Nastya Krouglova. Check it out here👇 www.youtube.com/watch?v=KZMpTeVEmdc…
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VIB.AI @vibai.bsky.social · 18/03/2026
We are super excited to welcome Dmitry Kobak @hippopedoid.bsky.social as a new VIB.AI group leader! The Kobak lab will officially kick off in April at the VIB.AI Ghent hub. More: vib.ai/en/news/dmit...
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Machine Learning in Science @mackelab.bsky.social · 30/03/2026
Come and work with us! We have a PostDoc position at the intersection of ML and Biogeoscience within the TERRA excellence cluster @terra-cluster.org, w/ Senckenberg. Be part of a great ML and Geo community and use ML to investigate fire and its impact on global vegetation🔥 🌱🌳 www.mackelab.org/jobs/
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Mark D Humphries @markdhumphries.bsky.social · 26/03/2026
Job! My lab is hiring a pre-doctoral research assistant to work on the neural computations of foraging, seeking common cross-species algorithms. In collaboration with @brainapps.bsky.social & Nathan Lepora. Closes April 21st Pls share! jobs.nottingham.ac.uk/vacancy.aspx...
jobs.nottingham.ac.uk
Job Vacancy at the University of Nottingham: Research Assistant (Fixed-term)
We seek a predoctoral research assistant to join the Humphries’ group at the University of Nottingham on a BBSRC-funded project to study the neural basis of foraging, in collaboration with the groups of Matthew Apps (Birmingham) and Nathan...
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Pedro J. Goncalves @ppjgoncalves.bsky.social · 22/03/2026
Proud to see this fantastic work by my PhD student @anastasiakrouglova.bsky.social on multifidelity SBI out in the world!
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VIB.AI @vibai.bsky.social · 04/03/2026
Full house today for the Methusalem BioMedAI kickoff! The labs of @steinaerts.bsky.social, @joanampereira.bsky.social, @ppjgoncalves.bsky.social & Maarten De Vos came together to launch this long-term research program on explainable and generative AI for biomedical discovery. Let's go!
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VIB-KU Leuven Center for Neuroscience @vibneuroleuven.bsky.social · 27/01/2026
🚀 Proudly introducing the VIB-KU Leuven Center For Neuroscience, a merger of the two former VIB research centers VIB-KU Leuven Center for Brain & Disease Research and Neuro-Electronics Research Flanders (NERF)! Our new motto: Bold Science, Real Impact. www.youtube.com/watch?v=uhaq...
youtube.com
VIB-KU Leuven Center for Neuroscience
YouTube video by VIB-KU Leuven Center for Neuroscience
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VIB.AI @vibai.bsky.social · 06/01/2026
This is the happy face of four researchers embarking on a cool scientific collaboration backed by 7-years of structural financing! Congrats @steinaerts.bsky.social, @joanampereira.bsky.social, @ppjgoncalves.bsky.social, and Maarten De Vos on your Methusalem grant. tinyurl.com/nvcardzy
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ML for Science @ml4science.bsky.social · 24/11/2025
The work this article is about has recently been published in @natmethods.nature.com ! It was led by @deismic.bsky.social and was a collaboration between the labs of @jakhmack.bsky.social / @mackelab.bsky.social, @philipp.hertie.ai and @ppjgoncalves.bsky.social.
ic.bsky.social
Bluesky
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Machine Learning in Science @mackelab.bsky.social · 21/11/2025
Simulation-based inference (SBI) has transformed parameter inference across a wide range of domains. To help practitioners get started and make the most of these methods, we joined forces with researchers from many institutions and wrote a practical guide to SBI. 📄 Paper: arxiv.org/abs/2508.12939
arxiv.org
Simulation-Based Inference: A Practical Guide
A central challenge in many areas of science and engineering is to identify model parameters that are consistent with prior knowledge and empirical data. Bayesian inference offers a principled framewo...
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NERF @nerflabs.bsky.social · 13/11/2025
New work out today by a collaborative team including @ppjgoncalves.bsky.social! 🙌 Introducing #JAXLEY, a differentiable simulator that brings biophysically detailed neural models into the realm of large‑scale, machine‑learning‑powered optimization. doi.org/10.1038/s41592-025-02895-w
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Pedro J. Goncalves @ppjgoncalves.bsky.social · 13/11/2025
Super excited about this work led by the one and only @deismic.bsky.social!
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Tim Vogels @tpvogels.bsky.social · 06/10/2025
“Mapping ion channel function” doi.org/10.7554/eLif... isn’t exactly a citation slayer, but it’s still one of my favourites (& my first independent project). Today we push pt 2, where we trace code origin & unite almost all channel models in a common expression. Boom! www.biorxiv.org/content/10.1...
biorxiv.org
An ion channel omnimodel for standardized biophysical neuron modelling
Biophysical neuron modeling is an indispensable tool in neuroscience research, with the combination of diverse ion channel kinetics and morphologies being used to explain various single-neuron propert...
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sbi - Simulation-based inference @sbi-devs.bsky.social · 09/09/2025
From hackathon to release: sbi v0.25 is here! 🎉 What happens when dozens of SBI researchers and practitioners collaborate for a week? New inference methods, new documentation, lots of new embedding networks, a bridge to pyro and a bridge between flow matching and score-based methods 🤯 1/7 🧵
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Pedro J. Goncalves @ppjgoncalves.bsky.social · 03/06/2025
Super exciting work led by @bconfavreux.bsky.social and @tpvogels.bsky.social!
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VIB.AI @vibai.bsky.social · 21/05/2025
The @ppjgoncalves.bsky.social lab is recruiting a PhD student via the VIB.AI International PhD Call 2025! Join to develop machine learning tools for neuroscience, focusing on simulation-based inference & neural circuit modeling. 📍 Leuven 🗓️ Apply by June 22 → tinyurl.com/53nc9vnd
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Pedro J. Goncalves @ppjgoncalves.bsky.social · 08/05/2025
Fantastic PhD opportunities at the intersection of machine learning and biology. Come join us at @vibai.bsky.social! More details at: vib.ai/en/vibai-int...
vib.ai
VIB.AI International PhD Call 2025
The VIB.AI International PhD Call 2025 is now open. We invite applicants from around the world to join an interdisciplinary research environment at the interface of AI, computational biology, and life...
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Pedro J. Goncalves @ppjgoncalves.bsky.social · 08/05/2025
Fantastic opportunity to establish your lab in ML for biology! Come join us!
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Pedro J. Goncalves @ppjgoncalves.bsky.social · 24/04/2025
Exciting project in Parkinson's disease! Patrik Verstreken's lab (verstrekenlab.sites.vib.be) and my lab are looking for a postdoc to develop and apply ML methods to the analysis of exciting brain-on-chip data. Please spread the word! More details at: jobs.vib.be/j/110908/pos...
jobs.vib.be
Postdoc position: Computational methods for neurodegeneration research - VIB
About the labs The Verstreken Lab and the Gonçalves Lab are based in Leuven, Belgium and part of the
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NERF @nerflabs.bsky.social · 22/04/2025
Hayden, Karthik & Nastya from the @ppjgoncalves.bsky.social lab joined the #SBI Hackathon in Tübingen in March, contributing to the open-source SBI package. Nastya gave a lightning talk on multifidelity inference for computationally expensive simulators. A great week of science & collaboration!
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Auguste Schulz @auschulz.bsky.social · 17/04/2025
Thanks so much for the shout-out, and congrats on your exciting work!! 🎉 🙂 Also, a good reminder to share that our work is now out in Cell Reports 🙏🎊 ⬇️ www.cell.com/cell-reports...
cell.com
Modeling conditional distributions of neural and behavioral data with masked variational autoencoders
Schulz et al. demonstrate how neural encoding and decoding can be cast as computing conditional distributions and how to modify variational autoencoders (VAEs) to calculate such distributions. The pro...
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Auguste Schulz @auschulz.bsky.social · 17/04/2025
We apply our masked VAE approach to drosophila 🪰walking behavior, a macaque 🐒reach task & a synthetic dataset with access to the ground truth. We propose calibration checks to evaluate the models’ uncertainty estimates, to avoid making confidently wrong predictions. Check out the paper for more 🙂
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psteinb.bsky.social @psteinb.bsky.social · 21/03/2025
It's been a blast, thanks to @sbi-devs.bsky.social ! This week's hackathon was phenomenal! 🙏 😍 The sbi hackathon welcomed about 25 people in Tübingen with contributions spanning the globe , e.g. 🇺🇸🇯🇵🇧🇪🇩🇪. Wanna see, what we did? Check out the PRs👇 github.com/sbi-dev/sbi/...
github.com
Pull requests · sbi-dev/sbi
sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has ...
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NERF @nerflabs.bsky.social · 14/03/2025
New work co-led by @ppjgoncalves.bsky.social introduces a powerful new approach to model conditional distributions of neural and behavioral data using masked variational autoencoders. Congratulations to @auschulz.bsky.social‬ et al. www.cell.com/cell-reports/fulltext/…
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Auguste Schulz @auschulz.bsky.social · 03/02/2025
1) Some exciting science in turbulent times: How do mice distinguish self-generated vs. object-generated looming stimuli? Our new study combines VR and neural recordings from superior colliculus (SC) 🧠🐭 to explore this question. Check out our preprint doi.org/10.1101/2024... 🧵
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sbi - Simulation-based inference @sbi-devs.bsky.social · 30/12/2024
🎉 Just in time for the end of the year, we’ve released a new version of sbi! 📦 v0.23.3 comes packed with exciting features, bug fixes, and docs updates to make sbi smoother and more robust. Check it out! 👇 🔗 Full changelog: github.com/sbi-dev/sbi/...
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Mark D Humphries @markdhumphries.bsky.social · 30/12/2024
Cutting it a bit fine, but here’s my review of the year in neuroscience for 2024 The eighth of these, would you believe? We’ve got dark neurons, tiny monkeys, the most complete brain wiring diagram ever constructed, and much more… Published on The Spike Enjoy! medium.com/the-spike/20...
medium.com
2024: A Review of the Year in Neuroscience
Feeling a bit wired
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Luigi Acerbi @lacerbi.bsky.social · 04/12/2024
1/ Excuse me, can I interest you in eliciting your beliefs as flexible probability distributions? No worries, we only need pairwise comparisons or rankings, no personal details. Led by **Petrus Mikkola** and joint with **Arto Klami**, to be presented soon at @neuripsconf.bsky.social #NeurIPS2024
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sbi - Simulation-based inference @sbi-devs.bsky.social · 03/12/2024
We are launching an SBI Discord Server! 🎉 We want to use this server to further build a community around SBI, i.e., for sharing insights, questions and events around simulation-based inference in general and the sbi package in particular. You are all invited to join! 🤗 github.com/sbi-dev/sbi/...
github.com
SBI Discord Server 🤖 · sbi-dev sbi · Discussion #1318
Dear all, we are launching an SBI Discord Server! 🎉 We want to use this server to further build a community around SBI, i.e., for sharing insights, questions and events around SBI in general and th...
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Pedro J. Goncalves @ppjgoncalves.bsky.social · 27/11/2024
Very privileged to be part of such an inspiring and fun community (effort)!
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Ryan Kelly @ryanpkelly.bsky.social · 21/11/2024
Thrilled to contribute to this work led by David Frazier providing theory for NPE/NLE in simulation-based inference. These methods are known to match the accuracy of ABC and BSL with fewer simulations, this paper rigorously shows why this can be achieved. arxiv.org/abs/2411.12068
arxiv.org
The Statistical Accuracy of Neural Posterior and Likelihood Estimation
Neural posterior estimation (NPE) and neural likelihood estimation (NLE) are machine learning approaches that provide accurate posterior, and likelihood, approximations in complex modeling scenarios, ...
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sbi - Simulation-based inference @sbi-devs.bsky.social · 18/11/2024
Hello, world! We are a community-developed toolkit that performs Bayesian inference for simulators. We support a broad range of methods (NPE, NLE, NRE, amortized and sequential), neural network architectures (flows, diffusion models), samplers, and diagnostics. Join us!
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Stam Sotiropoulos @mristam.bsky.social · 21/11/2024
First post! New preprint led by @josepemanzano.bsky.social on amortised simulation-based inference #SBI to map orientation #uncertainty and perform brain #tractography. Great collaboration with @jakhmack.bsky.social, @ppjgoncalves.bsky.social, @deismic.bsky.social.
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