Steven Braun @handle.invalid 
TU Darmstadt @tuda.bsky.social Hier postet die TU Darmstadt: #TUDa #researchTUDa Impressum: https://tu-darmstadt.de/impressum/
@wolfstammer.bsky.social @wolfstammer.bsky.social PhD candidate at AI & ML lab @ TU Darmstadt (he/him). Research on deep learning, representation learning, neuro-symbolic AI, explainable AI, verifiable AI and interactive AI
AutoML Conference @automl-conf.bsky.social Official account for International Conference on Automated Machine Learning. #AutoML26 Ljubljana, Slovenia
@kyunghyuncho.bsky.social @kyunghyuncho.bsky.social a mediocre combination of a mediocre AI scientist, a mediocre physicist, a mediocre chemist, a mediocre manager and a mediocre professor.
see more at https://kyunghyuncho.me/
Eleonora Giunchiglia @e-giunchiglia.bsky.social Assistant Professor at Imperial College London | EEE Department and I-X.
Neuro-symbolic AI, Safe AI, Generative Models
Previously: Post-doc at TU Wien, DPhil at the University of Oxford.
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 Lew @alexlew.bsky.social Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
Chris J. Maddison @cmaddis.bsky.social Asst. Prof. in Machine Learning at UofT. #LongCOVID patient.
https://www.cs.toronto.edu/~cmaddis/
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
Dino Sejdinovic @sejdino.bsky.social Professor of Statistical Machine Learning at the University of Adelaide.
https://sejdino.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
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
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.
Mark van der Wilk @mvdw.bsky.social Associate Professor in Machine Learning at the University of Oxford.
Interested in automatic inductive bias selection using Bayesian tools.
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/
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 🏳️⚧️🏳️🌈
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.
Vincent Fortuin @vincefort.eurosky.social Prof at TU Nuremberg, PI at Helmholtz AI, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar.
Prev: TUM, Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research.
https://fortuin.github.io/
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)
Willie Neiswanger @willieneis.bsky.social Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs.
https://willieneis.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.
Emile van Krieken @emilevankrieken.com Assistant professor @ VU Amsterdam, prev University of Edinburgh.
Neurosymbolic Machine Learning, Generative Models, commonsense reasoning
https://www.emilevankrieken.com/
Mattia Gollub @mgollub.bsky.social 🧬💻 | Director of Machine Learning @jura.bsky.social | Probabilistic models, ML, Molecular biology, Immune receptors.
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
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
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
Idris Sunmola @idris1.bsky.social Johns Hopkins CS PhD student.
#MedicalRobotics #ComputerVision #DeepLearning #Guitar
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
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
Leander Kurscheidt @leanderk.bsky.social ML PhD student @ Uni Edinburgh
Interesting in (tractable) probabilistic machine learning, computing niche integrals and whatever you want to tell me about your research!
Lorenzo Loconte @loreloc.bsky.social https://loreloc.github.io/
Andreas Grivas @andreasgrv.bsky.social Postdoc in ML/NLP at the University of Edinburgh.
Interested in Bottlenecks in Neural Networks; Unargmaxable Outputs.
https://grv.unargmaxable.ai/
Andreas Krause @arkrause.bsky.social Professor at ETH Zurich
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!
Diana Cai @dianarycai.bsky.social Machine learning researcher
www.dianacai.com
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
Joey Rudoler @jrudoler.bsky.social wharton stats phd — ml theory, ml for science
prev: comp neuro, data, physics
working with Edgar Dobriban and Konrad Körding
also some sports (esp. philly! go birds)
Thomas Pinder @thomas-pinder.bsky.social Bayesian statistics, Gaussian processes, and causal inference.
https://thomas-pinder.com
Guillaume Dalle @gdalle.bsky.social Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
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/
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.
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]
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 🌈
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/
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
Ali Siahkoohi @siahkoohi.bsky.social Assistant Professor, CS at UCF | Uncertainty Quantification
https://alisiahkoohi.github.io/
Kareem Ahmed @kareemyousrii.bsky.social Postdoc @ University of California, Irvine | PhD from CS@UCLA
Neuro-Symbolic AI, Tractable Probabilistic Reasoning, Generative Models
kareemahmed.com
Isabelle Lee @wordscompute.bsky.social ml/nlp phding @ usc, currently visiting harvard;
training & interpretability & reasoning
iglee.me
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
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
Flaviu Cipcigan @flaviucipcigan.bsky.social Building AIs for scientific discovery. Discovered antibiotics and materials for carbon capture. Tango dancer. See more at flaviucipcigan.com. Opinions my own.
Sulin Liu @sulinliu.bsky.social Postdoc at MIT. Generative models, inference, AI for science. Prev: Princeton, Meta, NUS. liusulin.github.io
James Hensman @jameshensman.bsky.social Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
James Allingham @jamesallingham.bsky.social Research Scientist @GoogleDeepMind | Organiser @DeepIndaba | Machine Learning PhD @CambridgeMLG | 🇿🇦
Thomas Möllenhoff @moellenh.bsky.social researcher
Dan Kowal @dan-kowal.bsky.social Associate Professor of Statistics and Data Science at Cornell University.
https://www.danielrkowal.com/
Jakub M. Tomczak @jmtomczak.bsky.social Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
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” 🦮
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
Anshuk Uppal @sigmabayesian.bsky.social Visiting Researcher @NYU Courant, CILVR.
PhD student @TU Denmark, MLLS(https://mlls.dk).
Probabilistic ML/DL. Nth order Markovian. Support Manifolds and latents.
Previously intern @SonyAI in deep generative modelling.
web: http://uppalanshuk.github.io
Gérôme Andry @Neurips2025 @gandry.bsky.social PhD student @universitedeliege.bsky.social with @glouppe.bsky.social. @frsFNRS research fellow. Focuses on AI for scientific discoveries 🤖
Lasse Elsemüller @elseml.bsky.social 💡 PhD candidate @ Heidelberg University.
🌱 AI for science - simulation-based inference, robust deep learning & cognitive modeling.
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
Sam Duffield @samduffield.com Stats, ML and open-source
Jonathan Wenger @jwenger.bsky.social Postdoctoral Research Scientist in Statistics at Columbia University
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
Nishanth @nishantharun.bsky.social PhD candidate @CarnegieMellon / ex @MartinosCenter
interested in bridging the gap between machine learning academia and clinical practice; uncertainty quantification / explainable AI
Md Rifat Arefin @rarefin.bsky.social PhD Candidate Mila/University of Montreal | Intern at Amazon | Ex. ServiceNow, Recursion, UpStride | Researching to understand how Deep Learning works
https://rarefin.github.io
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
Charlotte Bunne @bunnech.bsky.social Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute.
www.aimm.epfl.ch
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
@wellingmax.bsky.social @wellingmax.bsky.social 
Sara Magliacane hiring PhDs at UvA @smaglia.bsky.social Full prof at @uni-saarland.de & part of @amlab.bsky.social at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal |
🇮🇹🇸🇮 in 🇩🇪🇳🇱
#UAI2026 general chair
https://saramagliacane.github.io/
ICLR Conference @iclr-conf.bsky.social International Conference on Learning Representations https://iclr.cc/
Pasquale Minervini @neuralnoise.com Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they
Bluesky @bsky.app official Bluesky account (check username👆)
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