@optuna.bsky.social @optuna.bsky.social 
@psteinb.bsky.social @psteinb.bsky.social Using Machine Learning for Matter Research @helmholtzai.bsky.social
Tübingen AI Center @tuebingen-ai.bsky.social We are a joint partnership of University of Tübingen and Max Planck Institute for Intelligent Systems. We aim at developing robust learning systems and societally responsible AI. https://tuebingen.ai/imprint
https://tuebingen.ai/privacy-policy#c1104
Open Science Community Amsterdam @oscamsterdam.bsky.social Official Bluesky Account Of The Open Science Community Amsterdam.
UvA | VU | AUAS | Amsterdam UMC | SIOS
https://osc-international.com/osc-amsterdam/
Daniel Gedon @danielged.bsky.social PostDoc Tübingen @mackelab.bsky.social 🇩🇪
PhD Uppsala 🇸🇪
MSc Delft 🇳🇱
Machine learning for science
dgedon.github.io
Brandon Amos @bdamos.bsky.social 🧙🏻♀️ scientist at Meta NYC | http://bamos.github.io
@tommoral.bsky.social @tommoral.bsky.social 
Jan Boelts @janboelts.bsky.social Researcher at appliedAI Institute for Europe.
Working on simulation-based inference and responsible ML
Paul Bürkner @paulbuerkner.com Full Professor of Computational Statistics at TU Dortmund University
Scientist | Statistician | Bayesian | Author of brms | Member of the Stan and BayesFlow development teams
Website: https://paulbuerkner.com
Opinions are my own
Michael D. Nunez @nunezanalyzed.bsky.social Asst. Prof. University of Amsterdam, rock climber, husband, father. Model-based (Mathematical) Cognitive Neuroscientist. I study decision-making, EEG, 🧠, statistical methods, etc.
🇺🇦🇪🇺
François-Xavier Briol @fxbriol.bsky.social Professor of Statistics and Machine Learning at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
Umberto Picchini @upicchini.bsky.social Full Professor at @deptmathgothenburg.bsky.social | simulation-based inference | Bayes | stochastic dynamical systems | https://umbertopicchini.github.io/
Johann Brehmer @johannbrehmer.bsky.social Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
Matthijs Pals @matthijspals.bsky.social Using deep learning to study neural dynamics
@mackelab.bsky.social
Approximate Bayes Seminar @approxbayesseminar.bsky.social Posting about the One World Approximate Bayesian Inference (ABI) Seminar, details at https://warwick.ac.uk/fac/sci/statistics/news/upcoming-seminars/abcworldseminar/
BayesFlow @bayesflow.org Amortized Bayesian Workflows in Python.
🎲 Post author sampled from a multinomial distribution, choices
⋅ @marvin-schmitt.com
⋅ @paulbuerkner.com
⋅ @stefanradev.bsky.social
🔗 GitHub github.com/bayesflow-org/bayesflow
💬 Forum discuss.bayesflow.org
Luigi Acerbi @lacerbi.bsky.social Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki - Finnish Centre for AI - ELLIS Institute Finland | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
Stefan T. Radev @stefanradev.bsky.social Assistant Professor at Rensselaer Polytechnic Institute (RPI)
Bayesian | Computational guy | Name dropper | Deep learner | Book lover
Opinions are my own.
Lukas Schumacher @schumacherlu.bsky.social Postdoctoral Researcher at University of Basel
Interested in Cognitive Modeling | Decision Making | Dynamics in Cognition | Amortized Bayesian Inference | Superstatistics
Paul Hagemann @yungbayesian.bsky.social PhD student at TU Berlin, working on generative models and inverse problems
he/him
Yuga Hikida @yugahikida.bsky.social Doctoral researcher at Aalto University
Simulation-based Inference
yugahikida.github.io
Desi R Ivanova @desirivanova.bsky.social Research fellow @OxfordStats @OxCSML, spent time at FAIR and MSR
Former quant 📈 (@GoldmanSachs), former former gymnast 🤸♀️
My opinions are my own
🇧🇬-🇬🇧 sh/ssh
Antoine Wehenkel @awehwe.bsky.social ML + Physics + Health at . Exploring the interaction between scientific and ML models.
Lukas Heinrich @lukasheinrich.com High Energy Physics/Machine Learning/Data Science Prof @tum.de www.lukasheinrich.com
Ali Siahkoohi @siahkoohi.bsky.social Assistant Professor, CS at UCF | Uncertainty Quantification
https://alisiahkoohi.github.io/
Marvin Schmitt @marvin-schmitt.com ⛵️ Research Scientist @ Midjourney
🇪🇺 Member @ellis.eu
🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence
🎓 PhD+MSc Computer Science, MSc Psychology
🏡 https://marvin-schmitt.com
Gilles Louppe @glouppe.bsky.social AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.github.io
Kyle Cranmer @kylecranmer.bsky.social Director Data Science Institute @UWMadison, Professor of Physics,
EiC @MLSTjournal. Physics, stats/ML/AI, open science.
Lasse Elsemüller @elseml.bsky.social 💡 PhD candidate @ Heidelberg University.
🌱 AI for science - simulation-based inference, robust deep learning & cognitive modeling.
Annalena Kofler @annalenakofler.bsky.social PhD Student at MPI-IS working on ML for Gravitational Waves | #MLforPhysics #SBI
https://www.annalenakofler.com
Stephen Green @stephenrgreen.bsky.social ML / SBI | Black Holes and Gravitational Waves
UKRI Future Leaders Fellow @ U of Nottingham
https://www.stephenrgreen.com/
Guy Moss @gmoss13.bsky.social PhD student at @mackelab.bsky.social - machine learning & geoscience.
Machine Learning in Science @mackelab.bsky.social We build probabilistic #MachineLearning and #AI Tools for scientific discovery, especially in Neuroscience. Probably not posted by @jakhmack.bsky.social.
📍 @ml4science.bsky.social, Tübingen, Germany
Jakob Macke @jakhmack.bsky.social #AI4Science #CompNeuro #NeuroAI #SBI
www.mackelab.org @mackelab.bsky.social
· PI and Hector Fellow ELLIS Institute @ellisinsttue.bsky.social tue.ellis.eu
· Prof Uni Tuebingen @ml4science.bsky.social BCCN tue.ai
Michael Deistler @deismic.bsky.social Machine Learning tools for neuroscience @mackelab.bsky.social.