Michael E. Mann @michaelemann.bsky.social Scientist/Author/Speaker; Presidential Distinguished Prof/Director Center for Science, Sustainability & the Media, U. Penn; National Academy of Sciences; American Academy of Arts & Sciences; Royal Society; Tyler Prize
Our World in Data @ourworldindata.org Our World in Data is a free, nonprofit website with a mission to increase understanding of the world’s largest problems and drive informed action to solve them. Based out of Oxford University (@ox.ac.uk), founded by @maxroser.bsky.social.
David Shiffman, Ph.D. 🦈 @whysharksmatter.bsky.social I am a marine conservation biologist studying sharks and a science writer. Posts are about science and the environment, science communication, and more! He/him
Peder M Isager @isager.bsky.social Associate professor at Oslo New University College. Dungeon Master. Website: http://pedermisager.netlify.app
Sweta Karlekar @swetakar.bsky.social Machine learning PhD student @ Blei Lab in Columbia University
Working in mechanistic interpretability, nlp, causal inference, and probabilistic modeling!
Previously at Meta for ~3 years on the Bayesian Modeling & Generative AI teams.
🔗 www.sweta.dev
Dino Sejdinovic @sejdino.bsky.social Professor of Statistical Machine Learning at the University of Adelaide.
https://sejdino.github.io/
Rianne de Heide @rdeheide.bsky.social Assistant Professor in Mathematical Statistics and Statistical Learning at the University of Twente. https://riannedeheide.github.io
Contralto, professional horn player, percussionist, wannabe long-distance runner, mother.
John T Ormerod @johntormerod.bsky.social Statistician at Sydney University.
Adrián Javaloy @javaloyml.bsky.social Postdoc at the University of Edinburgh working on Machine Learning. Previously in Saarbrücken, Tübingen, and Murcia.
🌐 adrianjav.github.io
Nicolas Beltran-Velez @velezbeltran.bsky.social Machine Learning PhD Student
@ Blei Lab & Columbia University.
Working on probabilistic ML | uncertainty quantification | LLM interpretability.
Excited about everything ML, AI and engineering!
Paul Hagemann @yungbayesian.bsky.social PhD student at TU Berlin, working on generative models and inverse problems
he/him
Willi @willigo09.bsky.social Working on #SelfDrivingLabs at the Acceleration Consortium @ UofT. Former employee at dsm-firmenich working on self-driving labs for food applications. Interested in systems biology, microbial communities, ML/AI, software development, product management.
Jakub M. Tomczak @jmtomczak.bsky.social Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
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
Dylan Sam @dsam99.bsky.social Machine Learning PhD Student at CMU | Student Researcher at Google | dsam99.github.io
Jes Frellsen @jesfrellsen.bsky.social Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU)
https://frellsen.org
Alex Thiery @alexxthiery.bsky.social Associate Prof. in ML & Statistics at NUS 🇸🇬
MonteCarlo methods, probabilistic models, Inverse Problems, Optimization
https://alexxthiery.github.io/
Data Science Dad @datasciencedad.bsky.social Data Scientist. Voice of Reason. Dad of synesthetic composer Jacqueline Cordes jacquelinecordes.com
Chess, Poker, and Physics
Richi Paul @erpel.bsky.social phd student working on bayesian methods in bioimage analysis; @fz-juelich.de, @hds_lee & @lmu.de; bsc+msc in comp sci @univie.ac.at; based in karlsruhe; ripaul.github.io
Adam Fleischhacker @adam-fleischhacker.bsky.social Navigating life with smiles, skills, and an eye on better.
UD prof, inventor, app developer, entrepreneur.
https://causact.com
https://persuasivepython.com
https://emergencyhealthfix.com
Sam Power @spmontecarlo.bsky.social Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him).
Homepage: https://sites.google.com/view/sp-monte-carlo
Seminar: https://sites.google.com/view/monte-carlo-semina
Bertrand Charpentier @bertrand-sharp.bsky.social Founder, President & Chief Scientist @PrunaAI | Prev. @Twitter research, Ph.D. in ML @TU_Muenchen
Ole-Christoffer Granmo @olegranmo.bsky.social AI Professor and Founding Director @ https://cair.uia.no | Chair of Technical Steering Committee @ https://www.literal-labs.ai | Book: https://tsetlinmachine.org
Tommy Rochussen @rochussen.bsky.social Doctoral researcher at Helmholtz AI supervised by Vincent Fortuin. University of Cambridge engineering graduate. Probabilistic machine learning.
sheev13.github.io
Blei Lab @bleilab.bsky.social Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems.
🔗 https://www.cs.columbia.edu/~blei/
🔗 https://github.com/blei-lab
Carl Allen @carl-allen.bsky.social Laplace Junior Chair, Machine Learning
ENS Paris. (prev ETH Zurich, Edinburgh, Oxford..)
Working on mathematical foundations/probabilistic interpretability of ML (what NNs learn🤷♂️, disentanglement🤔, king-man+woman=queen?👌…)
Gintare Karolina Dziugaite @gkdziugaite.bsky.social Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org 
Javier Burroni @jburroni.bsky.social “Machines take me by surprise with great frequency” A. M. T.
David Rügamer @davidruegamer.bsky.social Associate Prof @ LMU Munich
PI @ Munich Center for Machine Learning
Ellis Member
Associate Fellow @ relAI
-----
https://davidruegamer.github.io/ | https://www.muniq.ai/
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BNNs, UQ in DL, DL Theory (Overparam, Optim), Sparsity, TabFMs
Leiv Rønneberg @ltronneberg.bsky.social Postdoctoral fellow @ University of Oslo (back home in 🏔️🇳🇴🏔️), Bayesian stats (high-dimensional, nonparametric, ML), biostatistics, computation. Previously @ MRC Biostatistics Unit, University of Cambridge 🇬🇧
Robin Ryder @robinryder.bsky.social Mathematician at Imperial College London. Bayesian statistics, Data science, Languages, Phylogenies.
Louis Sharrock @louissharrock.bsky.social Lecturer (Assistant Prof) in Statistical Science at UCL.
Previously Postdoc @ Lancaster Uni, PhD @ Imperial College London, MA @ Cambridge Uni.
Interested in computational stats, probabilistic ML, optimisation.
Website: https://louissharrock.github.io/
Adrien Corenflos @adriencorenflos.bsky.social Assistant Professor at the university of Warwick.
I compute integrals for a living.
https://adriencorenflos.github.io/
Emily Byun @yewonbyun.bsky.social PhD Student in Machine Learning at CMU. yewonbyun.github.io
Samuel Müller @sammuller.bsky.social (Tab)PFNs, TrivialAugment etc.
@psteinb.bsky.social @psteinb.bsky.social Using Machine Learning for Matter Research @helmholtzai.bsky.social
Will Kurt @willkurt.bsky.social "The idea of an environment scarcely makes any sense since you can never draw a boundary line that would distinguish an organism from what surrounds it." - Bruno Latour
Andrei Bursuc @abursuc.bsky.social Research Scientist at valeo.ai | Teaching at Polytechnique, ENS | Alumni at Mines Paris, Inria, ENS | AI for Autonomous Driving, Computer Vision, Machine Learning | Robotics amateur
⚲ Paris, France 🔗 abursuc.github.io
CSML IIT Lab @pontilgroup.bsky.social Computational Statistics and Machine Learning (CSML) Lab | PI: Massimiliano Pontil | Webpage: csml.iit.it | Active research lines: Learning theory, ML for dynamical systems, ML for science, and optimization.
Kajetan Schweighofer @kschweig.bsky.social ELLIS PhD Student @ JKU supervised by Sepp Hochreiter
Working on Predictive Uncertainty in ML
Chengkun Li @chengkunli.bsky.social Probabilistic machine learning, Bayesian computation, and computer vision
PhD in Computer Science
📍Helsinki, Finland
https://pipme.github.io/
Yuli Slavutsky @yulislavutsky.bsky.social Stats Postdoc at Columbia, @bleilab.bsky.social
Statistical ML, Generalization, Uncertainty, Empirical Bayes
https://yulisl.github.io/
claudia shi @claudiashi.bsky.social machine learning, causal inference, science of llm, ai safety, phd student @bleilab, keen bean
https://www.claudiashi.com/
Daolang Huang @huangdaolang.bsky.social PhD student at Aalto University 🇫🇮
Probabilistic ML, amortized inference.
See more at huangdaolang.com
Stephan Mandt @stephanmandt.bsky.social AI Professor @UCIrvine | Formerly @blei_lab, @Princeton | #GenAI, #Compression, #AI4Science | General Chair @aistats_conf 2025 | AI Resident @ChanZuckerberg
Padhraic Smyth @padhraicsmyth.bsky.social ML researcher, teacher, professor, Dad, Irish, ...
Alex Immer @aleximmer.bsky.social Research Scientist @Bioptimus. Previously at ETH Zürich, Max Planck Institute for Intelligent Systems, Google Research, EPFL, and RIKEN AIP.
aleximmer.github.io
Teresa Klatzer @teresa-klatzer.bsky.social PhD candidate @ University of Edinburgh
Bayesian Stats | Machine Learning | Uncertainty Quantification | ML4Science | Scientific Imaging
https://teresa-klatzer.github.io/
Nelson Tang @nelsontang.com Data Scientist (Forecasting) @NVIDIA. Interested in Bayesian stats, causal inference, and decisions. Also dad, OEF vet, and ski/mountain enjoyer.
I blog (throw bricks into the wind) @ www.nelsontang.com
Yu-Chien Ning @yuchienn.bsky.social Researcher in Bayesian machine learning
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
Karen Ullrich (s/h) @karen-ullrich.bsky.social Research scientist at FAIR NY ❤️ LLMs + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
Sara Pérez-Vieites @sperez-vieites.bsky.social HIIT Postdoctoral Fellow at the University of Helsinki 🇫🇮
Previously in Edinburgh, Lille and Madrid.
Working on Bayesian inference for state-space models, and Bayesian experimental design.
https://sarapv.github.io/
Nicola Branchini @nicolabranchini.bsky.social 🇮🇹 ProbAI Research Fellow @warwickstats.bsky.social. Previously @ellis.eu Stats PhD @edinunimaths.bsky.social @aalto.fi. 🤔💭 about Monte Carlo, approximate inference, UQ
Dan Kowal @dan-kowal.bsky.social Associate Professor of Statistics and Data Science at Cornell University.
https://www.danielrkowal.com/
Pierre Alquier @pierrealquier.bsky.social Professor of Statistics @ ESSEC Business School, APAC campus Singapore 🇸🇬
https://pierrealquier.github.io/
Previously:
RIKEN AIP 🇯🇵
ENSAE Paris 🇫🇷 🇪🇺
UCD Dublin 🇮🇪 🇪🇺
Université Paris Cité 🇫🇷 🇪🇺
Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈
Ali Siahkoohi @siahkoohi.bsky.social Assistant Professor, CS at UCF | Uncertainty Quantification
https://alisiahkoohi.github.io/
Thomas Möllenhoff @moellenh.bsky.social researcher
Kristoffer Stensbo-Smidt @kstensbo.bsky.social Postdoc in Bayesian machine learning at the Technical University of Denmark. I used to think a lot about the universe.
Matthew Ashman @mashtro.bsky.social PhD student in the Machine Learning Group, Cambridge.
James Allingham @jamesallingham.bsky.social Research Scientist @GoogleDeepMind | Organiser @DeepIndaba | Machine Learning PhD @CambridgeMLG | 🇿🇦
Bruno Mlodozeniec @brunokm.bsky.social PhD in Deep Learning at Cambridge. Previously Microsoft Research AI resident & researcher at Qualcomm. I want to find the key to generalisation.- J Joost van Amersfoort @joost.bsky.social
Pierre-Alexandre Mattei @pamattei.bsky.social Research scientist, Inria. Statistical machine learning.
@yeewhye.bsky.social @yeewhye.bsky.social 
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
@wellingmax.bsky.social @wellingmax.bsky.social 
Tycho van der Ouderaa @tychovdo.bsky.social Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
Sebastian Farquhar @sebfar.bsky.social Senior Research Scientist at Google DeepMind. AGI Alignment researcher. Views my dog's.
Aaron Schein @aaronschein.bsky.social Assistant Professor of Statistics & Data Science at UChicago
Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML
Proud “golden retriever” 🦮
Alex Alemi @alexalemi.bsky.social Machine Learning Researcher
https://alexalemi.com
https://blog.alexalemi.com
Tim G. J. Rudner @timrudner.bsky.social Assistant Professor, University of Toronto.
Junior Research Fellow, Trinity College, Cambridge.
AI Fellow, Georgetown University.
Probabilistic Machine Learning, AI Safety & AI Governance.
Prev: Oxford, Yale, UC Berkeley, NYU.
https://timrudner.com
@rogergrosse.bsky.social @rogergrosse.bsky.social 
Lena Zellinger @lenazellinger.bsky.social ELLIS PhD student @ University of Edinburgh
Mostly working on guarantees for variational inference
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
Yarin @yaringal.bsky.social Associate Professor of Machine Learning, University of Oxford;
OATML Group Leader;
Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
Jakob Foerster @jfoerst.bsky.social Jakob 
Christian A. Naesseth @canaesseth.bsky.social Assistant Professor of Machine Learning
Generative AI, Uncertainty Quantification, AI4Science
Amsterdam Machine Learning Lab, University of Amsterdam
https://naesseth.github.io
Shakir Mohamed @shakirm.bsky.social AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
Erin Grant @eringrant.me Assistant Professor @ualberta.bsky.social & Fellow @amiithinks.bsky.social studying cognition in mind & brain with neural nets, Bayes, and other tools (eringrant.github.io).
elsewhere: sigmoid.social/@eringrant, twitter.com/ermgrant @ermgrant
Andreas Kirsch @blackhc.bsky.social My opinions only here.
👨🔬 RS DeepMind
Past:
👨🔬 R Midjourney 1y 🧑🎓 DPhil AIMS Uni of Oxford 4.5y
🧙♂️ RE DeepMind 1y 📺 SWE Google 3y 🎓 TUM
👤 @nwspk
Daily Spurious Correlation 🤖 @dailycorrelation.bsky.social Correlation is not causation: your daily dose of spurious correlation.
Made with @trotsky.pirhoo.com using Tyler Vigen's charts.
Valentin Amrhein @vamrhein.bsky.social Ecology, conservation, statistics, reproducibility https://camargue.unibas.ch Retire statistical significance https://nature.com/articles/d41586-019-00857-9
Escape Collective @escapecollective.bsky.social Member-funded cycling media, brought to you by you.
Alan Couzens @alancouzens.bsky.social Exercise physiologist, coach, coder, MAD Scientist, #INTP #ChaoticGood 🇦🇺
https://alancouzens.com/my_book.html
MC Stan @mc-stan.org Expressive probabilistic programming language for writing statistical models. Fast Bayesian inference. Interfaces for Python, Julia, R, and the Unix shell. A rich ecosystem of tools for validation and visualization.
Home https://mc-stan.org/
International Society for Bayesian Analysis @isba-bayesian.bsky.social The International Society for Bayesian Analysis (ISBA), est. 1992 to promote the development and application of Bayesian analysis, provides an international community for those interested in Bayesian analysis and its applications.
https://bayesian.org
Norm Matloff (你有冇諗清楚呀?) @matloff.bsky.social Em. Prof., UC Davis. Various awards, incl. book, teaching, public service. Many books, latest The Art of Machine Learning (uses qeML pkg). Former Editor in Chief, the R Journal. Views mine. heather.cs.ucdavis.edu/matloff.html
Daniel Lakens @lakens.bsky.social Metascience, statistics, psychology, philosophy of science. Eindhoven University of Technology, The Netherlands. Omnia probate. 🇪🇺
ICRS-SECC @icrsreefstudent.bsky.social This account is run by the International Coral Reef Society @icrs.bsky.social Student & Early Career Chapter to promote student & #ECR success in the field, lab, and beyond!
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
Julia Belluz @juliabelluz.bsky.social Health journalist, contributing opinion writer @nytimes Formerly @voxdotcom, @MIT Knight Fellow etc. Book: https://tinyurl.com/yx2kmsp4
Eric Topol @erictopol.bsky.social physician-scientist, author, editor
https://www.scripps.edu/faculty/topol/
Ground Truths https://erictopol.substack.com
SUPER AGERS https://www.simonandschuster.com/books/Super-Agers/Eric-Topol/9781668067666
Typst @typst.app The new foundation for documents: Limitless power to write, create, and automate anything that you can fit on a page.
Typst Community @typstcommunity.bsky.social Typst is a new markup-based typesetting system that is designed to be as powerful as LaTeX while being much easier to learn and use.
Built by the people, for the people.
reddit.com/r/typst
discord.com/invite/2uDybryKPe
Libro.fm @libro.fm 🎧 The audiobook company that shares profits with independent bookshops
💗 Certified B Corp
🔗 Shop, sign up, find bookshops, & more: www.libro.fm
Kevin Hall @kevinh-phd.bsky.social Nutrition, metabolism & obesity scientist. KevinHallPhd.com
Anon Opin @anonopin.bsky.social Anonymous opinions written by YOU - sometimes right, sometimes wrong, and often niche. Edited by @robmanuel.b3ta.com - add yours: https://bit.ly/addanonopin