Mario Krenn @mariokrenn.bsky.social Professor for "Machine Learning in Science", University of Tübingen.
Artificial Intellgence as a source of inspiration in Science.
https://mariokrenn.wordpress.com/
Andreas Geiger @andreasgeiger.bsky.social Professor, University of Tübingen @unituebingen.bsky.social.
Head of Department of Computer Science 🎓.
Faculty, Tübingen AI Center 🇩🇪 @tuebingen-ai.bsky.social.
ELLIS Fellow, Founding Board Member 🇪🇺 @ellis.eu.
CV 📷, ML 🧠, Self-Driving 🚗, NLP 🖺
ML for Science @ml4science.bsky.social Cluster of Excellence "Machine Learning: New Perspectives for Science" at University of Tübingen, Germany. Blog: https://www.machinelearningforscience.de/ 
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
Kyle Cranmer @kylecranmer.bsky.social Director Data Science Institute @UWMadison, Professor of Physics,
EiC @MLSTjournal. Physics, stats/ML/AI, open science.
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
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
Lasse Elsemüller @elseml.bsky.social 💡 PhD candidate @ Heidelberg University.
🌱 AI for science - simulation-based inference, robust deep learning & cognitive modeling.
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/
Annalena Kofler @annalenakofler.bsky.social PhD Student at MPI-IS working on ML for Gravitational Waves | #MLforPhysics #SBI
https://www.annalenakofler.com
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
Stephen Green @stephenrgreen.bsky.social ML / SBI | Black Holes and Gravitational Waves
UKRI Future Leaders Fellow @ U of Nottingham
https://www.stephenrgreen.com/
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/
Michael Deistler @deismic.bsky.social Machine Learning tools for neuroscience @mackelab.bsky.social.
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
Richard Gao @rdgao.bsky.social W1 (Assistant) Professor of CS & Math at Goethe University Frankfurt.
AI x neuroscience.
🌊 https://www.gao-unit.com/
Michael Kagan @makagan.bsky.social Physics + Machine Learning
Scientist at SLAC National Laboratory at Stanford
Auguste Schulz @auschulz.bsky.social CEO of KI macht Schule gGmbH
Previously @mackelab.bsky.social - machine learning in (neuro)science.
Jan Boelts @janboelts.bsky.social Researcher at appliedAI Institute for Europe.
Working on simulation-based inference and responsible ML
Guy Moss @gmoss13.bsky.social PhD student at @mackelab.bsky.social - machine learning & geoscience.
Daniel Gedon @danielged.bsky.social PostDoc Tübingen @mackelab.bsky.social 🇩🇪
PhD Uppsala 🇸🇪
MSc Delft 🇳🇱
Machine learning for science
dgedon.github.io
Iain Murray @imurray.bsky.social Professor of Machine Learning and Inference, Edinburgh Informatics, Formerly Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray
Ben Miller @bkmi.bsky.social FAIR Chemistry. Simulation-based Inference.
Ayush Bharti @ayushbharti.bsky.social Academy Research Fellow at the Dept. of Computer Science, Aalto University, Finland. Affiliated with the Finnish Center for Artificial Intelligence.
Website: http://bharti-ayush.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
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
sbi - Simulation-based inference @sbi-devs.bsky.social 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
Seth Axen 🪓 @sethaxen.com Empowering scientists with machine learning @mlcolab.org. Sometimes #Bayesian. Usually #FOSS. Often in #JuliaLang.
Expat: 🇺🇸 ➡️ 🇩🇪
💼 On the job market (remote/southwest Germany)
sethaxen.com
ML ⇌ Science Colaboratory @mlcolab.org We accelerate research in the sciences and humanities with machine learning; part of the @ml4science.bsky.social cluster at @unituebingen.bsky.social
Web: mlcolab.org
Member profiles: @sethaxen.com @vstaros.bsky.social
Bluesky @bsky.app official Bluesky account (check username👆)
Bugs, feature requests, feedback: support@bsky.app