Simulation-based inference
Scientists who work on simulation-based inference (SBI; aka. likelihood-free inference). If you want to be added, just send a short DM to @marvinschmitt.com
Created by
@marvinschmitt.bsky.social
@sandesarajay.bsky.social
Postdoctoral researcher at the University of Wisconsin-Madison. Currently working on Simulation-Based Inference and its applications to LHC experiments. Broadly interested in fundamental physics and modern statistical techniques.
@janmatthis.bsky.social
Research scientist at Google in Zurich http://research.google/teams/connectomics PhD from @mackelab.bsky.social
@robinryder.bsky.social
Mathematician at Imperial College London. Bayesian statistics, Data science, Languages, Phylogenies.
@mtamborrino.bsky.social
Reader in Statistics at the University of Warwick | Inference for Stochastic processes | Simulation-based inference| Stochastic Numerics | Parallel-in-time numerical methods| Stochastic Modelling | Neuroscience | www.warwick.ac.uk/tamborrino
@huangdaolang.bsky.social
PhD student at Aalto University 🇫🇮 Probabilistic ML, amortized inference. See more at huangdaolang.com
@akanksha-ahuja.bsky.social
AI on Graphs, Networks, Topologies 👩🏻💻🌎| PhD @Cambridge_Eng @Cambridge_Uni | MSc @CompSciOxford @UniofOxford I Prev @FCC_study, @CMSExperiment, AWAKE @CERN
@dtfrazier.bsky.social
@aishikghosh.bsky.social
Fundamental Physics ∩ AI AI Policy Neural simulation-based inference & uncertainty quantification in particle & astrophysics AI for hypothesis generation, simulation, beyond ATLAS Experiment at #CERN
@vstaros.bsky.social
@arnauddelaunoy.bsky.social
PhD student working on simulation-based inference under the supervision of @glouppe .
@hpesonen.bsky.social
Researcher at Oslo Centre for Biostatistics and Epidemiology. Likelihood-free inference|Statistical modelling|Often Bayesian|Open source software development
@davidjwarne.bsky.social
Senior Lecturer in Statistical Data Science at QUT in Mathematics. I do inference in ecology and biology. Stochastic modelling and Bayesian computation. Opinions=mine
@ppjgoncalves.bsky.social
Computational Neuroscience and Machine Learning. Group Leader at VIB-NERF (https://nerf.be/en#/) and Associate Professor at KU Leuven (https://www.kuleuven.be/english/kuleuven). More details at goncalveslab.sites.vib.be
@chris-drovandi.bsky.social
@smsharma.bsky.social
Researcher at Anthropic, incoming faculty at BU. Based in SF. Likes cats. smsharma.github.io.
@louissharrock.bsky.social
Postdoc in Statistical Machine Learning @ Lancaster Uni. Previously PhD @ Imperial College London, MA @ Cambridge Uni. Interested in computational statistics, probabilistic machine learning, optimisation. Website: https://louissharrock.github.io/
@ryanpkelly.bsky.social
PhD student at QUT in computational Bayesian statistics simulation-based inference | generative modelling | robust ML
@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
@imurray.bsky.social
Professor of Machine Learning and Inference, Edinburgh Informatics, Formally Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray
@danielged.bsky.social
PostDoc Tübingen @mackelab.bsky.social 🇩🇪 PhD Uppsala 🇸🇪 MSc Delft 🇳🇱 Machine learning for science dgedon.github.io
@gmoss13.bsky.social
PhD student at @mackelab.bsky.social - machine learning & geoscience.
@janboelts.bsky.social
Researcher at appliedAI Institute for Europe. Working on simulation-based inference and responsible ML
@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
@auschulz.bsky.social
PhD student @mackelab.bsky.social - machine learning in (neuro)science. Co-CEO of KI macht Schule gGmbH
@makagan.bsky.social
Physics + Machine Learning Scientist at SLAC National Laboratory at Stanford
@rdgao.bsky.social
computational neuroscience, machine learning, occasionally cognitive science | inverting brain circuits towards translational neuroscience. 🌊 www.rdgao.com
@jakhmack.bsky.social
#AI4Science #CompNeuro #NeuroAI #SBI www.mackelab.org @mackelab.bsky.social · Prof Uni Tuebingen ML4Science BCCN tue.ai · Adjunct MPI IS · Fellow ellis.eu · currently hiring postdocs and PhD students · sometimes goes for a run
@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
@siahkoohi.bsky.social
Simons Postdoctoral Fellow at Rice University | Uncertainty Quantification https://alisiahkoohi.github.io/ On the academic job market for Fall 2025
@lukasheinrich.com
High Energy Physics/Machine Learning/Data Science Prof @tum.de www.lukasheinrich.com
@awehwe.bsky.social
ML + Physics + Health at . Exploring the interaction between scientific and ML models.
@stephenrgreen.bsky.social
Black holes, gravitational waves, and AI. UKRI Future Leaders Fellow @ University of Nottingham. https://www.stephenrgreen.com/
@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
@yugahikida.bsky.social
Doctoral researcher at Aalto University Simulation-based Inference, Probabilistic ML yugahikida.github.io
@yungbayesian.bsky.social
PhD student at TU Berlin, working on generative models and inverse problems he/him
@schumacherlu.bsky.social
Postdoctoral Researcher at University of Basel Interested in Cognitive Modeling | Decision Making | Dynamics in Cognition | Amortized Bayesian Inference | Superstatistics
@stefanradev.bsky.social
Assistant Professor at Rensselaer Polytechnic Institute (RPI) Bayesian | Computational guy | Name dropper | Deep learner | Book lover Opinions are my own.
@annalenakofler.bsky.social
PhD Student at MPI-IS working on ML for Gravitational Waves | #MLforPhysics #SBI https://www.annalenakofler.com
@lacerbi.bsky.social
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
@elseml.bsky.social
💡 PhD candidate @ Heidelberg University. 🌱 AI for science - simulation-based inference, robust machine learning & cognitive modeling.
@bayesflow.org
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
@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/
@matthijspals.bsky.social
Using deep learning to study neural dynamics @mackelab.bsky.social
@johannbrehmer.bsky.social
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
@upicchini.bsky.social
Full Professor at @deptmathgothenburg.bsky.social | simulation-based inference | Bayes | stochastic dynamical systems | https://umbertopicchini.github.io/
@fxbriol.bsky.social
Associate Professor at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
@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. 🇺🇦🇪🇺
@glouppe.bsky.social
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity.
@kylecranmer.bsky.social
Director Data Science Institute @UWMadison, Professor of Physics, EiC @MLSTjournal. Physics, stats/ML/AI, open science.
@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
@marvinschmitt.bsky.social
🇪🇺 AI/ML, Member @ellis.eu 🤖 Generative NNs, ProbML, Uncertainty Quantification, Amortized Inference, Simulation Intelligence 🎓 PhD+MSc CS, MSc Psych 🏡 marvinschmitt.github.io ✨ On the job market, DMs open 📩