Senior Staff Research Scientist @Google DeepMind, former Chair Prof @Oxford Uni
Research scientist at Anthropic. Prev. Google Brain/DeepMind, founding team OpenAI. Computer scientist; inventor of the VAE, Adam optimizer, and other methods. ML PhD. Website: dpkingma.com
research scientist at google deepmind.
phd in neural nonsense from stanford.
poolio.github.io
Co-Founder & Chief Scientist @ Emmi AI. Ass. Prof / Group Lead @jkulinz. Former MSFTResearch, UvA_Amsterdam, CERN, TU_Wien
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Founding chairman of www.publichealthactionnetwork.org
AI for materials design at Microsoft Research AI for Science | Prev. University of Cambridge. Views are my own.
Science is the best use of ML
Working towards the safe development of AI for the benefit of all at Université de Montréal, LawZero and Mila.
A.M. Turing Award Recipient and most-cited AI researcher.
https://lawzero.org/en
https://yoshuabengio.org/profile/
VP of AI Research, Principal Scientist @ EIT Oxford | ex-Director @ DeepMind Building models to accelerate fundamental sciences and medicine.
Opinions my own.
https://danilorezende.com/
Opensource dev @ WPandCo && Web tech @ Citoyens.com && Photography @ Photopalpininst
Machine Learning researcher at @Xaira_Thera (former @CambridgeEllis and @OxCSML) opinions expressed are my own.
Sr Researcher at Microsoft Research AI for Science
Former Oxford Stats PhD in Bayesian Experimental Design
PhD researcher in Machine Learning at Imperial College. Visiting at University of Oxford.
Interested in all things involving causality and Bayesian machine learning. Recently I have also been interested in scaling theory.
https://anish144.github.io/
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
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.
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
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
The AI developer platform.
Mathematics professor at Collège de France and fellow of Trinity College Cambridge.
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
Co host @thenewsagents .
Formerly @bbcNewsnight - interviews with Prince Andrew Donald Trump Bill Clinton Mark Zuckerberg etc etc .
Journalist, Reporter, Writer, Presenter @ Britain's biggest news podcast The News Agents (Mon-Fri) and Sunday with Lewis Goodall on LBC 10-12.
Website: lewisgoodall.com
Email: lewis.goodall@global.com
Substack: https://goodallandgoodluck.substack.com
Lifting the curtain on the biggest stories in the UK, U.S. & beyond.
With Emily Maitlis, Jon Sopel & Lewis Goodall. Listen on Global Player.
.
Host of daily podcast The News Agents. And author of Strangeland. Available at all good bookshops….
Anthropologist - Bayesian modeling - science reform - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
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
Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
Assistant Professor / Faculty Fellow @nyudatascience.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
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
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
Assistant Professor of Machine Learning
Generative AI, Uncertainty Quantification, AI4Science
Amsterdam Machine Learning Lab, University of Amsterdam
https://naesseth.github.io
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
#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
⛵️ Research Resident @ Midjourney
🇪🇺 Member @ellis.eu
🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence
🎓 PhD+MSc Computer Science, MSc Psychology
🏡 https://marvin-schmitt.com
ELLIS PhD student at the University of Edinburgh
https://lenazellinger.github.io/
Machine Learning Researcher
https://alexalemi.com
https://blog.alexalemi.com
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
Assistant Professor of Statistics & Data Science at UChicago
Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML
Proud “golden retriever” 🦮
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science.
www.dianacai.com
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
Research scientist, Inria. Statistical machine learning.
Assistant professor in Machine Learning and Theoretical Neuroscience. Generative modeling and memory. Opinionated, often wrong.
Postdoc in Bayesian machine learning at the Technical University of Denmark. I used to think a lot about the universe.
Associate Professor of Statistics and Data Science at Cornell University.
https://www.danielrkowal.com/
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/
Research scientist at FAIR NY ❤️ LLMs + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
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
Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
Research Scientist @GoogleDeepMind | Organiser @DeepIndaba | Machine Learning PhD @CambridgeMLG | 🇿🇦
PhD in Deep Learning at Cambridge. Previously Microsoft Research AI resident & researcher at Qualcomm. I want to find the key to generalisation.
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
Senior Research Scientist at Google DeepMind. AGI Alignment researcher. Views my dog's.
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
PhD Student at MPI-IS working on ML for Gravitational Waves | #MLforPhysics #SBI
https://www.annalenakofler.com
🇮🇹 ProbAI Research Fellow @warwickstats.bsky.social. Previously @ellis.eu Stats PhD @edinunimaths.bsky.social @aalto.fi. 🤔💭 about Monte Carlo, approximate inference, UQ
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/
Multiplying matrices @Cambridge_Uni & @MSFTResearch | PhD student in Machine Learning | Previously MSc @ucl & BSc @ucddublin
alanjeffares.com
Assistant Professor, CS at UCF | Uncertainty Quantification
https://alisiahkoohi.github.io/
Associate Professor at Department of Mathematics and Computer Science and Head of Big Data & Compute Continuum Lab at University of Ferrara, Italy.
🧬💻 | Director of Machine Learning @jura.bsky.social | Probabilistic models, ML, Molecular biology, Immune receptors.
Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
Research fellow @OxfordStats @OxCSML, spent time at FAIR and MSR
Former quant 📈 (@GoldmanSachs), former former gymnast 🤸♀️
My opinions are my own
🇧🇬-🇬🇧 sh/ssh
Professor of Statistics @ ESSEC Business School Asia-Pacific campus Singapore 🇸🇬
https://pierrealquier.github.io/
Previously: RIKEN AIP 🇯🇵 ENSAE Paris 🇫🇷 🇪🇺 UCD Dublin 🇮🇪 🇪🇺
Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈
CS PhD Student in Italy 🇮🇹
Working towards making Deep Learning at-the-edge feasible.
🐱 GitHub: https://github.com/matteorisso
🎓 Scholar: https://scholar.google.com/citations?user=ltE9im8AAAAJ&hl=en
🕸️🏗️ matteorisso.github.io
Second year machine learning PhD student at IP Paris
Anthropologist from UniCPH and MS student in Machine Learning at Techincal University of Denmark. Apart from uncertainty in modelling, I care a lot about regenerative farming and food.
You can also find me here: https://www.linkedin.com/in/simoneiriksson
Researcher in Bayesian machine learning
PhD student at Vector Institute / University of Toronto. Building tools to study neural nets and find out what they know. He/him.
www.danieldjohnson.com
ELLIS PhD student @Uni_stuttgart @EdinburghUni, Cautiously optimistic about GNNs and KGs | prev: @iiit_hyderabad @GoogleDeepMind
PhD Student @ University of Waterloo
Machine learning, decision-making under uncertainty and foundation models
https://suttergustavo.github.io/
🇧🇷 🇨🇦
Associate Professor at Université Paris-Saclay. Interested in Protein Structure, Interactions and Evolution, Machine Learning, and
Julia programming.
https://diegozea.github.io/
PhD Student at UMich Statistics.
The account mostly trashes about urban planning and infrastructure.
Probability, Statistics, and Evolutionary Biology.
https://hanbin973.github.io
Ellis PhD Student at JKU Linz working on Diffusion Samplers and combinatorial optimization
O'Reilly Author, "Unifying Business, Data, and Code" (2024), and Apress author, "The Language of Innovation" (2025)
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
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
AI/ML/Robotics. Incoming postdoc at University of Edinburgh, previously at Aalto University.
Professor of Statistical Machine Learning at the University of Adelaide.
https://sejdino.github.io/
Just Cameron.
- Eigenadmin
- Artificial intelligence
- Social agents
- ATProto
- Recovering financial economist
- Sunbeam enjoyer
devrel @letta.com
AI + Astro/Physics. Assistant Prof at Cambridge.
astroautomata.com/
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
Chair, Computational BIology and Medicine Program, Princess Margaret Cancer Centre, University Health Network.
Associate Professor, Medical Biophysics, University of Toronto.
Disclosures: https://github.com/michaelmhoffman/disclosure/
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
AI and cognitive science, Founder and CEO (Geometric Intelligence, acquired by Uber). 8 books including Guitar Zero, Rebooting AI and Taming Silicon Valley.
Newsletter (100k subscribers): garymarcus.substack.com
source: https://arxiv.org/rss/stat.ML
maintainer: @tmaehara.bsky.social
Professor of Statistics and Machine Learning at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
