@inference.vc
Secular Bayesian. Professor of Machine Learning at Cambridge Computer Lab Talent aficionado at http://airetreat.org Alum of Twitter, Magic Pony and Balderton Capital
@davidduvenaud.bsky.social
Machine learning prof at U Toronto. Working on evals and AGI governance.
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@mvdw.bsky.social
Associate Professor in Machine Learning at the University of Oxford. Interested in automatic inductive bias selection using Bayesian tools.
@deisenroth.bsky.social
Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him
@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
@bethgelab.bsky.social
Machine Learning and Neuroscience Lab @ Uni Tuebingen, PI: Matthias Bethge, bethgelab.org
@ahonkela.bsky.social
Prof of machine learning at University of Helsinki. Interested in (differential) privacy and open source software.
@kldivergence.bsky.social
Research Scientist at GDM. Statistician. Mostly work on Responsible AI. Academia-industry flip-flopper.
@jennwv.bsky.social
Sr. Principal Researcher at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // More at http://jennwv.com
@smaglia.bsky.social
Assistant prof in the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal | 🇮🇹🇸🇮 in 🇳🇱 | #UAI2025 program chair https://saramagliacane.github.io/
@rockt.ai
Director and Open-Endedness Team Lead Google DeepMind (GDM). Professor of Artificial Intelligence, University College London (UCL), and PI of @ucldark.com. Fellow, European Laboratory for Learning and Intelligent Systems (ELLIS).
@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/
@rmcelreath.bsky.social
Anthropologist - Bayesian modeling - organic modem converting poetry into code - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
@maosbot.bsky.social
Parent, spouse, Australian, Professor of Machine Learning in Oxford. Bayesian ML, Long Covid, trans rights, photos of dog, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb
@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
@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
@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
@betanalpha.bsky.social
Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
@eringrant.bsky.social
Senior Research Fellow @ ucl.ac.uk/gatsby & sainsburywellcome.org {learning, representations, structure} in 🧠💭🤖 my work 🤓: eringrant.github.io not active: sigmoid.social/@eringrant @eringrant@sigmoid.social, twitter.com/ermgrant @ermgrant
@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.
@fxbriol.bsky.social
Associate Professor at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
@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
@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
@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
@canaesseth.bsky.social
Assistant Professor of Machine Learning Generative AI, Uncertainty Quantification, AI4Science Amsterdam Machine Learning Lab, University of Amsterdam https://naesseth.github.io
@alexlew.bsky.social
Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
@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)
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
@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
@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 📩
@lenazellinger.bsky.social
ELLIS PhD student at the University of Edinburgh https://lenazellinger.github.io/
@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
@alexalemi.bsky.social
Machine Learning Researcher https://alexalemi.com https://blog.alexalemi.com
@lacerbi.bsky.social
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
@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” 🦮
@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
@trappmartin.bsky.social
ML Researcher @ Aalto University 🇫🇮. Previous: TU Graz 🇦🇹, originally from 🇩🇪. Doing: Reliable ML | uncertainty stuff | Bayesian stats | probabilistic circuits https://trappmartin.github.io/
@sebfar.bsky.social
Senior Research Scientist at Google DeepMind. AGI Alignment researcher. Views my dog's.
@tychovdo.bsky.social
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
@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