Jayde Willingham @jaydewst.bsky.social PhD candidate @ Swinburne University aspiring to understand how the first galaxies formed and how we got here. 🌌🪐💫 Keeping well read and caffeinated. 📚☕
jaydewillingham.github.io
instagram.com/jaydewst/
michael 📈 👨💻 @mikedecr.computer Low-latency quant finance R&D.
Former political scientist, sometimes bike rider.
Long form mikedecr.computer
Obsidian @obsidian.md The free and flexible app for your private thoughts. For help and deeper discussions, join our community: http://obsidian.md/community
Maike Osborne @maosbot.bsky.social Mother, wife, Australian, Professor of Machine Learning in Oxford. Long Covid, trans rights, music, reggae, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb. She/her 🏳️⚧️🏳️🌈
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
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
Dan Roy @roydanroy.bsky.social Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst.
Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org
I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
Jakob Foerster @jfoerst.bsky.social Jakob 
Alex Alemi @alexalemi.bsky.social Machine Learning Researcher
https://alexalemi.com
https://blog.alexalemi.com
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/
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” 🦮
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.- J Joost van Amersfoort @joost.bsky.social
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/
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.
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
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.
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.
Sam Duffield @samduffield.com Stats, ML and open-source
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
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
Thomas Pinder @thomas-pinder.bsky.social Bayesian statistics, Gaussian processes, and causal inference.
https://thomas-pinder.com
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
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
Michael Deistler @deismic.bsky.social Machine Learning tools for neuroscience @mackelab.bsky.social.
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
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
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 🇬🇧
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/- H Michael Tran @huytransformer1.bsky.social
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
Chad Scherrer @cscherrer.bsky.social Doing Bayesian stuff in #rustlang and #julialang. Seattle
Jonathan Wenger @jwenger.bsky.social Postdoctoral Research Scientist in Statistics at Columbia University
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/
ICML Conference @icmlconf.bsky.social Official account of ICML
Julien Chaumond @julien-c.hf.co I build tools that propel communities forward
Poorly Drawn Lines @poorlydrawnlines.bsky.social Comics by Reza Farazmand (official account!)
Nick Clark 💹 @njclark.bsky.social Amplify Research Fellow at University of Queensland. Using #forecasting in #rstats to understand ecological responses to change. Author of the {mvgam} R 📦 for Bayesian multivariate modeling.
Blog 💬: https://ecogambler.netlify.app/
Views are my own
Dominique Berteaux @dominiqueberteaux.bsky.social PhD, Prof. UQAR Québec
Mammal & Bird Ecology, Climate Change, Biodiversity, Arctic, Birding. To my 3 kids: Joy & Hope!
Écologie des mammifères & des oiseaux, changements climatiques, biodiversité, Arctique, ornitho. À mes 3 enfants : Joie & Espoir
Grant Sanderson @3blue1brown.com Math videos
NeurIPS Conference @neuripsconf.bsky.social San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
Jan Boelts @janboelts.bsky.social Researcher at appliedAI Institute for Europe.
Working on simulation-based inference and responsible ML
The Rest Is History @theresthistory.bsky.social History + bad accents, with Tom Holland and Dominic Sandbrook.
From Goalhanger Podcasts
Gerardo Duran-Martin @grrddm.bsky.social grdm.io
Alexandre Andorra @alex-andorra.bsky.social Causal Inference & Probabilistic AI
Senior Data Scientist @ Meta
🎙️ Creator @learnbayesstats.com podcast
Randall Munroe @xkcd.com 
Zhe Zeng @zzhe.bsky.social Incoming Assist. Prof. @UVA | Faculty fellow @NYU | CS Ph.D @UCLA | Neurosymbolic AI, Probabilistic ML, Constraints, AI4Science | https://zzeng.me/
Shivvrat Arya @shivvarya.bsky.social Assistant Professor, CS @ NJIT | Probabilistic & Neurosymbolic AI | Explainable AI | Combinatorial Optimization | AI | ML | CV | https://shivvrat.github.io
@davpoole.bsky.social @davpoole.bsky.social AI Educator, researcher, author. Professor Emeritus in CS at University of British Columbia. One of the founders of Statistical Relational AI. https://www.cs.ubc.ca/~poole/
Emile van Krieken @emilevankrieken.com Assistant professor @ VU Amsterdam, prev University of Edinburgh.
Neurosymbolic Machine Learning, Generative Models, commonsense reasoning
https://www.emilevankrieken.com/
antonio vergari ⚔️ short-circuiting @nolovedeeplearning.bsky.social human being | assoc prof in #ML #AI #Edinburgh | PI of #APRIL | #reliable #probabilistic #models #tractable #generative #neuro #symbolic | heretical empiricist | he/him
👉 https://april-tools.github.io
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/
Mathias Niepert @mniepert.bsky.social Professor @ University of Stuttgart, Scientific Advisor @ NEC Labs, GraphML, geometric deep learning, ML for Science and Simulations. Formerly @IUBloomington and @uwcse
Adrián Javaloy @javaloyml.bsky.social Lecturer at the University of Bath working on Machine Learning. Previously in Edinburgh, Saarbrücken, Tübingen, and Murcia.
🌐 adrianjav.github.io
Lena Zellinger @lenazellinger.bsky.social ELLIS PhD student at the University of Edinburgh working on guarantees for approximate inference
Jesse Davis @jessejdavis.bsky.social Professor @ KU Leuven researching AI, machine learning, and sports. Co founder of runeasi