ML & Probabilistic stuff
ML, Randomized methods, Monte-Carlo, Bayesian stuff, variational approx, generative models, reinforcement learning, AI for Science,... (150/150)
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@alexxthiery.bsky.social
@kuriouschad.bsky.social
Videos about maths & ML, simulations, and other random things https://www.youtube.com/@KuriousChad
@arnauddoucet.bsky.social
Senior Staff Research Scientist @Google DeepMind, previously Stats Prof @Oxford Uni - interested in Computational Statistics, Generative Modeling, Monte Carlo methods, Optimal Transport.
@aishikghosh.bsky.social
Fundamental Physics ∩ AI AI Policy Neural simulation-based inference & uncertainty quantification in particle & astrophysics AI for hypothesis generation, simulation, beyond ATLAS Experiment at #CERN
@adriencorenflos.bsky.social
Research Fellow at the university of Warwick. I compute integrals for a living. https://adriencorenflos.github.io/
@adjiboussodieng.bsky.social
Academic at Princeton University. Leading @vertaix.bsky.social on research at the intersection of AI and the natural sciences. Founder of @theafricaiknow.bsky.social. Research Scientist at Google DeepMind.
@almostsure.bsky.social
George Lowther. Author of Almost Sure blog on maths, probability and stochastic calculus https://almostsuremath.com Also on YouTube: https://www.youtube.com/@almostsure
@kontoyiannis.bsky.social
Information theory, probability, statistics. Churchill Professor of Mathematics of Information @UofCambridge: dpmms.cam.ac.uk/person/ik355/ 🧮 #MathSky 🧪 #Science [used to be @yiannis_entropy at the other place]
@zdeborova.bsky.social
Professor at EPFL. Une mathémaphysinformaticienne. Passionate mushroom hunter. Tamer of two little dragons.
@fschaipp.bsky.social
Researcher in Optimization for ML at Inria Paris. Previously at TU Munich. sbatch and apero. https://fabian-sp.github.io/
@richtarik.bsky.social
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
@marvinschmitt.bsky.social
🇪🇺 AI/ML, Member @ellis.eu 🤖 Generative NNs, ProbML, Uncertainty Quantification, Amortized Inference, Simulation Intelligence 🎓 PhD+MSc CS, MSc Psych 🏡 marvinschmitt.github.io ✨ On the job market, DMs open 📩
@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?👌…)
@joanbruna.bsky.social
Professor of Computer Science, Data Science and Mathematics (aff), Courant Institute of Mathematical Sciences and Center for Data Science, New York University. Visiting Scholar at Flatiron Institute.
@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
@mguindani.bsky.social
Statistician. Bayesian. Professor, Department of Biostatistics, University of California, Los Angeles. Views are my own. He/Him.
@nicolabranchini.bsky.social
🇮🇹 Stats PhD @ University of Edinburgh 🏴 @ellis.eu PhD - visiting @avehtari.bsky.social 🇫🇮 🤔💭 about uncertainty quantification. Interested in sampling/transport methodologies, applications in climate/science. https://www.branchini.fun/about
@zhidilin.bsky.social
Research Fellow @NUS 🇸🇬 | Machine Learning | Generative Models | Bayesian Inference 🌐 https://zhidi-lin.github.io/
@jmtomczak.bsky.social
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
@grant.rotskoff.cc
Statistical mechanic working on generative models for biophysics and beyond. Assistant professor at Stanford. https://statmech.stanford.edu
@danilojrezende.bsky.social
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/
@sbubeck.bsky.social
I work on AI at OpenAI. Former VP AI and Distinguished Scientist at Microsoft.
@mattivihola.bsky.social
Professor of Statistics, University of Jyväskylä. Computational statistics, applied probability, Monte Carlo methods, Bayesian inference. https://iki.fi/mvihola/
@pierrenyquist.bsky.social
Assoc. prof. in mathematics at Chalmers/University of Gothenburg. Mainly probability, analysis and computational methods, but I like to visit most areas of mathematics. Elected member Young Academy of Sweden. Mostly here for the science, some for the jokes
@robinryder.bsky.social
Mathematician at Imperial College London. Bayesian statistics, Data science, Languages, Phylogenies.
@ahonkela.bsky.social
Prof of machine learning at University of Helsinki. Interested in (differential) privacy and open source software.
@igorcarron.bsky.social
LightOn, President GenAI for enterprise, LLMs Former Nuclear and Rocket Scientist Nuit Blanche writer (Compressive Sensing, Matrix Factorizations to DL). Paris Machine Learning meetup cofounder
@trappmartin.bsky.social
ML Researcher @ Aalto University 🇫🇮. Doing: Probabilistic ML | probabilistic circuits | (Bayesian) deep learning | Bayesian stats https://trappmartin.github.io/
@matvil.bsky.social
Professor of Statistics at Stockholm University. 25+ years of Bayes and still excited. Loving #juliaLang and #observable. 🇮🇹+🇸🇪
@rabaath.bsky.social
Data science (AKA statistics). Likes conditioning on the data (AKA Bayes). Blog at https://www.sumsar.net. Works at http://Normative.io.
@firthstat.bsky.social
Research in #statistics, University of Warwick. https://warwick.ac.uk/dfirth Also @firthstat@fediscience.org (Mastodon) Current main interest is compositional data analysis. Programming in #rstats
@riccard0.bsky.social
Professor of Physics at Imperial College London, exploring light at the nanoscale, trying to make sense of the world, nanophotonic enthusiast - proud dad of 2
@quantumgeoff.bsky.social
Assistant Professor at UC Berkeley. Quantum Information and Quantum Gravity. Currently still mostly on twitter but might move over if a critical mass of people do.
@lucamb.bsky.social
Assistant professor in Machine Learning and Theoretical Neuroscience. Generative modeling and memory. Opinionated, often wrong.
@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.
@krzakalaf.bsky.social
Love Physics, Maths, Machine learning, Computer Science but above all playing 🎸🎵 Happy dad 👧 👧. Also professor @ EPFL. Views are my own.
@dirque.bsky.social
Doing mathematics, also as a job. Now at Uni Bremen, was at TU Braunschweig. Only here for the math. Optimization, inverse problems, imaging, learning - stuff like that.
@andrea-montanari.bsky.social
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
@alexlew.bsky.social
Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
@mrattray.bsky.social
Professor of Computational & Systems Biology at University of Manchester. Applies machine learning and modelling to help understand the complexity of biology. idsai.manchester.ac.uk, https://www.ellismcr.org, @official-uom.bsky.social
@timrudner.bsky.social
Assistant Professor & Faculty Fellow, NYU. AI Fellow, Georgetown University. Probabilistic methods for robust and transparent ML & AI Governance. Prev: Oxford, Yale, UC Berkeley. https://timrudner.com
@canaesseth.bsky.social
Assistant Professor of Machine Learning Generative AI, Uncertainty Quantification, AI4Science Amsterdam Machine Learning Lab, University of Amsterdam https://naesseth.github.io
@darrenjw.bsky.social
Professor of Statistics, Bayesian, computational systems biologist and functional programmer, https://darrenjw.github.io/
@imurray.bsky.social
Professor of Machine Learning and Inference, Edinburgh Informatics, Formally Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray
@upicchini.bsky.social
Full Professor at @deptmathgothenburg.bsky.social | simulation-based inference | Bayes | stochastic dynamical systems | https://umbertopicchini.github.io/
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com
@sejdino.bsky.social
Professor of Statistical Machine Learning at the University of Adelaide. https://sejdino.github.io/
@hannes-stark.bsky.social
MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
@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]
@zicokolter.bsky.social
Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
@fjrubio.bsky.social
Lecturer at the Department of Statistical Science of UCL. All opinions my own. 🇲🇽🇬🇧 https://sites.google.com/site/fjavierrubio67/ #rstats #JuliaLang #Bayesian #Statistics #Biostatistics
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
@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=6Qa-wXMAAAAJ&sortby=pubdate
@fxbriol.bsky.social
Associate Professor at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
@laurentdinh.bsky.social
Internet pedestrian. ✨Content creator✨ (ML researcher). ᕕ(ツ)ᕗ (he/him/his) https://laurent-dinh.github.io/
@pierrealquier.bsky.social
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 🌈
@colcarroll.bsky.social
Runner, biker, hiker. Software engineer @DeepMind, and open source enthusiast. Sometimes crafts things out of wood. he/his.
@francois.fleuret.org
Research Scientist Meta/FAIR, Prof. University of Geneva, co-founder Neural Concept SA. I like reality. https://fleuret.org
@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
@jakhmack.bsky.social
#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
@archernikov.bsky.social
Michael Brin professor of mathematics at the University of Maryland. Mathematical logic, model theory - and connections to combinatorics, algebra, etc. chernikov.me
@gdalle.bsky.social
Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
@ericaklarreich.bsky.social
Mathematics and science journalist. My work has appeared in Quanta, Nature, The Atlantic, New Scientist, Science News and other publications.
@glouppe.bsky.social
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity.
@franknoe.bsky.social
Scientist, #MachineLearning and #AI for Moleculear Sciences. Scuba Diver. Loves @cecclementi.bsky.social
@kylecranmer.bsky.social
Director Data Science Institute @UWMadison, Professor of Physics, EiC @MLSTjournal. Physics, stats/ML/AI, open science.
@gautamkamath.com
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2025. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning. http://www.gautamkamath.com
@donskerclass.bsky.social
Econometrics, Statistics, Computational Economics, etc 🏳️⚧️ http://donskerclass.github.io
@quasilocal.com
Sweden-based, Germany-adjacent, Scottish-Australian Mathematician. Mathematician who pretends to be a physicist sometimes (convincing nobody). Maker of dubious memes, and exploring my new home near the arctic circle.
@jesper.drams.ch
I share non-hype ML & AI with 8+ years XP 🌦 Machine Learning at ECMWF 💾 Fellow at SSI You miss 99% of benchmarks you don't overfit on! 🏳️🌈 they
@yisongyue.bsky.social
AI professor at Caltech. General Chair ICLR 2025. http://www.yisongyue.com
@phillipisola.bsky.social
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI. https://web.mit.edu/phillipi/
@moalquraishi.bsky.social
MLing biomolecules en route to structural systems biology. Asst Prof of Systems Biology @Columbia. Prev. @Harvard SysBio; @Stanford Genetics, Stats.
@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)
@stein.ke
Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
@milescranmer.bsky.social
AI + Astro/Physics. Assistant Prof at Cambridge. astroautomata.com/
@vincefort.bsky.social
PI at Helmholtz AI, Faculty at TU Munich, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar. Prev: Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research. https://fortuin.github.io/
@olexandr.bsky.social
Chemistry professor at CMU. Connecting chemical sciences with AI #MachineLearning and automated experimentation. #tarheels fan. Care: #design, #photography #Ukraine #cats🐈 Rants are mine
@kevinkaichuang.bsky.social
Principal Researcher in BioML at Microsoft Research. He/him/他. 🇹🇼 yangkky.github.io
@randomlywalking.bsky.social
Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
@rosanneliu.com
Founder & executive & community builder & organizer & researcher ML Collective (mlcollective.org) Google DeepMind rosanneliu.com
@betanalpha.bsky.social
Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
@suryaganguli.bsky.social
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
@avehtari.bsky.social
Professor in computational Bayesian modeling at Aalto University, Finland. Bayesian Data Analysis 3rd ed, Regression and Other Stories, and Active Statistics co-author. #mcmc_stan and #arviz developer. Also in Mastodon: https://bayes.club/@avehtari
@bayesianstats.bsky.social
Posts about Bayesian statistics, Monte Carlo, etc from a Reader in Statistics at the University of Warwick https://bsky.app/profile/warwickstats.bsky.social. Personal account. https://richardgeveritt.github.io/
@smerity.bsky.social
Always pondering startups, ML, Rust, Python, and 3D printing. Independent ML researcher consulting on LMs + data. Previously: Salesforce Research, MetaMind, CommonCrawl, Harvard. 🇦🇺 in SF. He/him. Personal blog: https://state.smerity.com