On my way to #OCNS2025 - looking forward to meeting fellow modelers! Hit me up if you would like to discuss over a coffee!
07.07.2025 09:19 — 👍 3 🔁 0 💬 0 📌 0
Group leader tenured-track position in Computational Neuroscience - Bordeaux Neurocampus
Neurocentre Magendie
New group leader position in computational neuroscience @ Neurocentre Magendie, INSERM, Bordeaux! More info here: www.bordeaux-neurocampus.fr/group-leader...
⚠️ Application deadline: end of September 2025
@neurobordeaux.bsky.social @neuromagendie.bsky.social
04.07.2025 12:26 — 👍 9 🔁 10 💬 0 📌 0
📣 New preprint, on time for @netsciconf.bsky.social
"The global communication pathways of the human brain transcend the cortical-subcortical-cerebellar division"
With Julian Schulte, Mario Senden and @compneurology.bsky.social
Talk at NetNeuro Satellite:
📅 – Mon, 2 June
🕐 – 12:00
30.05.2025 08:29 — 👍 0 🔁 2 💬 1 📌 1
scientist: complex networks. brain connectivity. dynamical systems.
@cbcUPF – Center for Brain & Cognition
https://www.zamora-lopez.xyz
Mood & Memory researcher with a computational bent. https://www.nicolecrust.com/ Science advocate. Professor (UPenn Psychology). NEW BOOK: Elusive Cures. https://press.princeton.edu/books/hardcover/9780691243054/elusive-cures
Dynamics, Networks, and Dynamics. Based at VU Amsterdam but also roaming around Exeter, Munich, and Oxford (family permitting). Personal webpage at https://www.math.vu.nl/~bick/ and more social media at https://linktr.ee/cbick.
Professor for Analysis and Modeling of Complex Data at Johannes Gutenberg University of Mainz. Interested in individual differences in cognition, neuroscience, and modeling.
Tenured researcher at the University of Cologne, formerly Postdoc at the University of Amsterdam. Interested in Bayesian statistics, mathematical models of learning/memory, and computational reproducibility. I develop R packages and obsess about coffee
Former professor at Olin College, principal data scientist at PyMC Labs, author of Think Python, and Probably Overthinking It -- blog and book -- and stark raving Bayesian.
NeuroAI Prof @EPFL 🇨🇭. ML + Neuro 🤖🧠. Brain-Score, CORnet, Vision, Language. Previously: PhD @MIT, ML @Salesforce, Neuro @HarvardMed, & co-founder @Integreat. go.epfl.ch/NeuroAI
Professor @ University of Stuttgart, Scientific Advisor @ NEC Labs, GraphML, geometric deep learning, ML for Science and Simulations. Formerly @IUBloomington and @uwcse
Scientist 👩🔬 & EPFL Prof 🇨🇭 | DeepLabCut.org , 🦓 cebra.ai | neuroscience & ML 🧠 mackenziemathislab.org | ✨CSO at Kinematik.ai | occasionally 🐦⬛birds/🌱outdoors/🍣food/👠fashion
Full Professor at @deptmathgothenburg.bsky.social | simulation-based inference | Bayes | stochastic dynamical systems | https://umbertopicchini.github.io/
Assistant Professor at Rensselaer Polytechnic Institute (RPI)
Bayesian | Computational guy | Name dropper | Deep learner | Book lover
Opinions are my own.
Posting about the One World Approximate Bayesian Inference (ABI) Seminar, details at https://warwick.ac.uk/fac/sci/statistics/news/upcoming-seminars/abcworldseminar/
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
Brainbox Initiative works closely with world-leading researchers to help support, develop, and promote the work of early-career & mid-career neuroscientists.
https://nibs-conference.com
Amortized Bayesian Workflows in Python.
🎲 Post author sampled from a multinomial distribution, choices
⋅ @marvinschmitt.bsky.social
⋅ @paulbuerkner.com
⋅ @stefanradev.bsky.social
🔗GitHub github.com/bayesflow-org/bayesflow
💬Forum discuss.bayesflow.org
Community-maintained simulation-based inference (SBI) toolkit in PyTorch:
• NPE, NLE & NRE
• amortized and sequential inference
• wide range of diagnostics
Posts written by @deismic.bsky.social & @janboelts.bsky.social.
🔗 https://github.com/sbi-dev/sbi
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science.
www.dianacai.com
⛵️ Research Resident @ Midjourney
🇪🇺 Member @ellis.eu
🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence
🎓 PhD+MSc Computer Science, MSc Psychology
🏡 https://marvin-schmitt.com
Assistant Professor of Machine Learning
Generative AI, Uncertainty Quantification, AI4Science
Amsterdam Machine Learning Lab, University of Amsterdam
https://naesseth.github.io
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst.
Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org
I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
