Emil Hvitfeldt @emilhvitfeldt.bsky.social https://emilhvitfeldt.com/
making modeling easier in #rstats with tidymodels at @posit.co
writing about feature engineering (https://feaz-book.com/) and Slidecrafting. He/Him
Greg Sargent @gregsargent.bsky.social Politics, politics, politics
arXiv stat.ME Methodology @statme-bot.bsky.social Unofficial bot by @vele.bsky.social w/ http://github.com/so-okada/bXiv https://arxiv.org/list/stat.ME/new
List https://bsky.app/profile/vele.bsky.social/lists/3lim7ccweqo2j
ModList https://bsky.app/profile/vele.bsky.social/lists/3lim3qnexsw2g
Carl T. Bergstrom @carlbergstrom.com Professor, UW Biology / Santa Fe Institute
I study how information flows in biology, science, and society.
Book: *Calling Bullshit*, http://tinyurl.com/fdcuvd7b
LLM course: https://thebullshitmachines.com
Corvids: https://tinyurl.com/mr2n5ymk
he/him
NYU Center for Data Science @nyudatascience.bsky.social Official account of the NYU Center for Data Science, the home of the Undergraduate, Master’s, and Ph.D. programs in data science. cds.nyu.edu
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
Mattan S. Ben-Shachar @mattansb.msbstats.info Statistics lecturer | Freelance statistical consultant & research analyst | #rstats dev @easystats.github.io
home.msbstats.info
(He/Him)
Stephen Wild @stephenjwild.bsky.social I try to put straight lines through things but usually fail. Try to be Bayesian when I can. Views my own. RT/like != endorsement. 
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/
Walker Bragman @walkerbragman.bsky.social He/Him. Dad. Journo tracking dark money and attacks on public health. JD, ADHD, occasional cartoonist.
Co-founder of Accountability Journalism Institute. Accountabilityjournalism.org
Signal: walkerbragman.44
Reporting: https://www.importantcontext.news
Santa Fe Institute @sfiscience.bsky.social The premier research center for #ComplexSystems #science.
santafe.edu
linktr.ee/sfiscience
Jeremy Berg @jeremymberg.bsky.social Husband, Father, Grandfather, Datahound, Dog lover, Fan of Celtic music, Former NIGMS director, Former EiC of Science, Stand Up for Science advisor, Shananigator, Pittsburgh, PA
NIH Dashboard: https://jeremymberg.github.io/jeremyberg.github.io/index.html
David Corn @davidcorn.bsky.social Washington bureau chief, Mother Jones. Author of the forthcoming HOW RUSSIA WON and the OUR LAND newsletter. Go to davidcorn.com. On Signal: DavidCorn.99
Rebecca Saxe @rebeccasaxe.bsky.social Cognitive neuroscience at MIT. Open science. 🇨🇦
Saxelab.mit.edu
Griffiths Computational Cognitive Science Lab @cocoscilab.bsky.social Tom Griffiths' Computational Cognitive Science Lab at Princeton. Studying the computational problems human minds have to solve.
Melanie Mitchell @melaniemitchell.bsky.social Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems.
Website: https://melaniemitchell.me
Substack: https://aiguide.substack.com/
Stephen Senn @stephensenn.bsky.social Swiss & British statistician.
Spencer Kornhaber @skornhaber.bsky.social staff writer at The Atlantic
Marina Koren @marinakoren.bsky.social Science journalist, covering space stuff. Bylines in National Geographic, The New York Times, and elsewhere. Former staff writer and union boss at The Atlantic.
www.marinakoren.com / Signal: @marinakoren.08
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
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
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.
Alexander Terenin @avt.im Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell
https://avt.im/ · https://scholar.google.com/citations?user=EGKYdiwAAAAJ&sortby=pubdate
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
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
Jakob Foerster @jfoerst.bsky.social Jakob 
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 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
Lena Zellinger @lenazellinger.bsky.social ELLIS PhD student at the University of Edinburgh working on guarantees for approximate inference
@rogergrosse.bsky.social @rogergrosse.bsky.social 
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
Alex Alemi @alexalemi.bsky.social Machine Learning Researcher
https://alexalemi.com
https://blog.alexalemi.com
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” 🦮
Diana Cai @dianarycai.bsky.social Machine learning researcher
www.dianacai.com
Sebastian Farquhar @sebfar.bsky.social Senior Research Scientist at Google DeepMind. AGI Alignment researcher. Views my dog's.
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.
@wellingmax.bsky.social @wellingmax.bsky.social 
Andreas Krause @arkrause.bsky.social Professor at ETH Zurich
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
@yeewhye.bsky.social @yeewhye.bsky.social 
Pierre-Alexandre Mattei @pamattei.bsky.social Research scientist, Inria. Statistical machine learning.
Luca Ambrogioni @lucamb.bsky.social Assistant professor in Machine Learning and Theoretical Neuroscience. Generative modeling and memory. Opinionated, often wrong.- J Joost van Amersfoort @joost.bsky.social
Philipp Hennig @philipphennig.bsky.social Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
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.
James Allingham @jamesallingham.bsky.social Research Scientist @GoogleDeepMind | Organiser @DeepIndaba | Machine Learning PhD @CambridgeMLG | 🇿🇦
James Hensman @jameshensman.bsky.social Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
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.
Ali Siahkoohi @siahkoohi.bsky.social Assistant Professor, CS at UCF | Uncertainty Quantification
https://alisiahkoohi.github.io/
Dan Kowal @dan-kowal.bsky.social Associate Professor of Statistics and Data Science at Cornell University.
https://www.danielrkowal.com/
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
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/
Karen Ullrich (s/h) @karen-ullrich.bsky.social Research scientist at FAIR NY ❤️ LLMs + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
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
Yu-Chien Ning @yuchienn.bsky.social Researcher in Bayesian machine learning
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
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!
Lasse Elsemüller @elseml.bsky.social 💡 PhD candidate @ Heidelberg University.
🌱 AI for science - simulation-based inference, robust deep learning & cognitive modeling.
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/
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
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
Andrew Gordon Wilson @andrewgwils.bsky.social Machine Learning Professor
https://cims.nyu.edu/~andrewgw
Zhidi Lin @zhidilin.bsky.social Research Fellow @HKU 🇭🇰 | Machine Learning | Generative Models | Bayesian Inference
🌐 https://zhidi-lin.github.io/
🐦 https://x.com/Zhidi_LIN
Maria Gorinova @mgorinova.bsky.social Shaping the future of programming @tessl.io 🚀 | ex-@TwitterCortex @Birdwatch 💙 | PhD in probabilistic machine learning, loyal servant to a cat, collector of random variables, and lover of well-placed puns.
https://mgorinova.github.io/
Alex Lew @alexlew.bsky.social Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
Jan-Willem van de Meent @jwvdm.bsky.social Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
Philippe Desjardins-Proulx @lambdaphdp.bsky.social Exploring {Probabilistic Programming w/ Typed λ-Calculi; Lean; Program Synthesis; Self-Improving A.I.; Evolutionary Genetics} @ umontreal. Ph.D. USherbrooke
Sean Pinkney @spinkney.bsky.social I mostly post about probabilistic programming stuff, statistics, and R/Julia/Python (in that order). I'm a volunteer Stan developer and citizen scientist (papers on arxiv). Currently my day job is doing marketing analytics.
Martin Trapp @trappmartin.eurosky.social Assistant Prof in Prob ML @ KTH 🇸🇪
WASP Fellow & ELLIS Member
Ex: Aalto Uni 🇫🇮, TU Graz 🇦🇹, originally 🇩🇪.
—
https://trappmartin.github.io/
—
Reliable ML | UQ | Bayesian DL | tractability & PCs
🔥囧Robert Osazuwa Ness囧🔥 @osazuwa.bsky.social
Probabilistic machine Learning, causal inference, language models. Teach at http://Altdeep.ai & @Northeastern, work at @MSFTResearch.
Osvaldo Martin @aloctavodia.bsky.social Research Fellow at Aalto University. Open source contributor #ArviZ, #Bambi, #Kulprit, #PreliZ, #PyMC, #PyMC-BART.
Support me at https://ko-fi.com/aloctavodia
https://bayes.club/@aloctavodia
Thomas Wiecki @twiecki.bsky.social That PyMC guy
Allen Downey @allendowney.bsky.social 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.
PyMC Labs @pymc-labs.bsky.social The Bayesian AI Consultancy • Using PyMC to solve your most challenging data science problems • http://pymc-labs.com
Moritz Schauer @mschauer.bsky.social Statistician, Associate Professor (Lektor) at University of Gothenburg and Chalmers; inference and conditional distributions for anything
https://mschauer.github.io
http://orcid.org/0000-0003-3310-7915
[ˈmoː/r/ɪts ˈʃaʊ̯ɐ]
Cameron Freer @cfreer.bsky.social Research Scientist at MIT studying interactions of randomness and computation
Colin Carroll @colcarroll.bsky.social Runner, biker, hiker. Software engineer @DeepMind, and open source enthusiast. Sometimes crafts things out of wood. he/his.
Guy Van den Broeck @guyvdb.bsky.social 🎓 CS Prof at UCLA
🧠 Researching reasoning and learning in artificial intelligence: tactable deep generative models, probabilistic circuits, probabilistic programming, neurosymbolic AI
https://web.cs.ucla.edu/~guyvdb/
ArviZ @arviz.bsky.social Official account for the ArviZ project. We provide #FOSS tools for exploratory analysis of #Bayesian models in #Python and #JuliaLang
www.arviz.org
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
Lawrence Murray @lawmurray.bsky.social Machine learning, open source software, C++. https://indii.org
Poorva Garg @poorvagarg.bsky.social Working on Probabilistic Programming Languages
https://web.cs.ucla.edu/~poorvagarg/