Oisin Mac Aodha @oisinmacaodha.bsky.social Reader in Computer Vision and Machine Learning @ School of Informatics, University of Edinburgh.
https://homepages.inf.ed.ac.uk/omacaod 
Mojmir Mutny @mmutny.bsky.social Machine Learning Scientist @ ETH Zurich, Active Learning, Sequence Design, GenAI
Kacper Wyrwal @wyrwalkacper.bsky.social I dabble in geometric machine learning.
Master's student at the University of Oxford.
Liza Semenova @liza-semenova.bsky.social Assistant Prof @ImperialCollege. Applied Bayesian inference, spatial stats and deep generative models for epidemiology. Passionate about probabilistic programming: check out my evolving #Numpyro course: https://elizavetasemenova.github.io/prob-epi 🚀
Motonobu Kanagawa @motonobu-kanagawa.bsky.social Statistics, machine learning, numerics, and simulation at EURECOM. 
Artem Moskalev @artemmoskalev.bsky.social Re-imagining drug discovery with AI 🧬. Deep Learning ⚭ Geometry. Previously PhD at the University of Amsterdam. https://amoskalev.github.io/
Gergely Neu @neu-rips.bsky.social full-time ML theory nerd, part-time AI-non enthusiast
Agustinus Kristiadi @agustinus.kristia.de Assistant Professor @westernu.ca, Faculty Affiliate @vectorinstitute.ai. Probabilistic machine learning, decision-making, AI4Science. Bayesian + frequentist, etc!
Lenka Zdeborová @zdeborova.bsky.social Professor at EPFL. Une mathémaphysinformaticienne. Passionate mushroom hunter. Tamer of two little dragons.
Erik Bekkers @erikjbekkers.bsky.social AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
Bayes Centre @bayescentre.bsky.social The Bayes Centre is the University of Edinburgh's Innovation Hub for Data Science and AI. 
Austin Tripp @austinjtripp.bsky.social (ML ∪ Bayesian optimization ∪ active learning) ∩ (drug discovery)
Researcher @valenceai.bsky.social
Details: austintripp.ca
@aminkarbasi.bsky.social @aminkarbasi.bsky.social Chief scientist at Robust Intelligence and professor at Yale (on leave)
Petar Veličković @petar-v.bsky.social Senior Staff Research Scientist, Google DeepMind
Affiliated Lecturer, University of Cambridge
Associate, Clare Hall
GDL Scholar, ELLIS @ellis.eu
🇷🇸🇲🇪🇧🇦
François-Xavier Briol @fxbriol.bsky.social Professor of Statistics and Machine Learning at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
Alex Williams @itsneuronal.bsky.social Asst Prof at NYU + Flatiron Institute
Computational + Statistical Neuroscience
https://neurostatslab.org/
Yarden As @yardenas.bsky.social yardenski
Chenhao Li @lichenhao.bsky.social Computational biology, Micrombiome, Spatial transcriptomics
Kevin Murphy @sirbayes.bsky.social Probabilistic ML researcher at Google Deepmind
Brandon Amos @bdamos.bsky.social 🧙🏻♀️ scientist at Meta NYC | http://bamos.github.io
Giorgia Ramponi @gioramponi.bsky.social Assistant Professor at UZH, group leader of the ALPILab 🌼
Working on RL, multi-agent, imitation learning, and other sequential decision-making stuff
Nicholas Sharp @nmwsharp.bsky.social 3D geometry researcher: graphics, vision, 3D ML, etc | Senior Research Scientist @NVIDIA | polyscope.run and geometry-central.net | running, hockey, baking, & cheesy sci fi | opinions my own | he/him
personal website: nmwsharp.com
Silvia Sellán @silviasellan.bsky.social Assistant Professor of Computer Graphics and Geometry Processing at Columbia University https://www.cs.columbia.edu/~silviasellan/
Amir Vaxman @amirvaxman-dgp.bsky.social Geometry processor, discrete differentiator of geometry, mesher, directional fielder, finite elementor, and reconstructor. Reader (Associate professor) @ School of Informatics @ University of Edinburgh
Nina Miolane @ninamiolane.bsky.social Assis. Prof. @ucsbece Affiliate @SLAClab Stanford Prev @Stanford @Inria @imperialcollege @Polytechnique PI @geometric_intel
http://gi.ece.ucsb.edu, Pilot
Sam Power @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
Michael Galkin @mgalkin.bsky.social Research Scientist @ Google. Prev: Intel, Postdoc @mila-quebec.bsky.social & McGill.
GraphML, GNNs, Geometric DL, Knowledge Graphs.
Grandmaster of 80's music (according to Spotify)
Daniel Augusto @spectral.space PhD student at UCL. Working on Gaussian Processes. I love everything mathy, videogames, and language. 🇧🇷
He/Ele/Él
Also as @spectraldani@sigmoid.social
Mufan Li @mufan-li.bsky.social Assistant Professor @UWaterloo Statistics and @VectorInst | Prev: Postdoc @Princeton PhD @UofTStatSci
https://mufan-li.github.io/
Vincent Dutordoir @dvinnie.bsky.social Researcher at Google DeepMind in London. Previously PhD at Cambridge University.
Michael Bronstein @mmbronstein.bsky.social DeepMind Professor of AI @Oxford
Scientific Director @Aithyra
Chief Scientist @ProximaBio
ML Lead @ProjectCETI
geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
ETH Zurich @ethz.ch Where the future begins. 🚀🔬 One of the world’s leading universities for technology & natural sciences. Posts in both English and German.
www.ethz.ch
@geoffreyhinton.bsky.social @geoffreyhinton.bsky.social 
Neil Lawrence @lawrennd.bsky.social Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
Keenan Crane @keenancrane.bsky.social Digital Geometer, Associate Professor of Computer Science & Robotics at Carnegie Mellon University. There are four lights.
https://www.cs.cmu.edu/~kmcrane/
David Duvenaud @davidduvenaud.bsky.social Machine learning prof at U Toronto. Working on evals and AGI governance.
James Hensman @jameshensman.bsky.social Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
Russ Salakhutdinov @rsalakhu.bsky.social VP of Research, GenAI @ Meta (Multimodal LLMs, AI Agents), UPMC Professor of Computer Science at CMU, ex-Director of AI research at @Apple, co-founder Perceptual Machines (acquired by Apple)
Francis Bach @bachfrancis.bsky.social Researcher in machine learning
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.
@yeewhye.bsky.social @yeewhye.bsky.social 
@diffeq.bsky.social @diffeq.bsky.social 
@wellingmax.bsky.social @wellingmax.bsky.social 
Aki Vehtari @avehtari.bsky.social Professor in computational Bayesian modeling, Aalto University, Finland. Co-author of Bayesian Data Analysis 3rd ed, Regression and Other Stories, Active Statistics and Bayesian Workflow. #mcmc_stan and #arviz developer.
https://users.aalto.fi/ave/
Arno Solin @arnosolin.bsky.social Associate Professor in Machine Learning, Aalto University. ELLIS Scholar.
http://arno.solin.fi
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
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.
karpathy @karpathy.bsky.social AI @ OpenAI, Tesla, Stanford
Andreas Krause @arkrause.bsky.social Professor at ETH Zurich
@tacocohen.bsky.social @tacocohen.bsky.social 
Kilian Q. Weinberger @kilianqw.bsky.social Machine Learner, Marathon runner, Juggler
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.
Dino Sejdinovic @sejdino.bsky.social Professor of Statistical Machine Learning at the University of Adelaide.
https://sejdino.github.io/
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
Chris J. Maddison @cmaddis.bsky.social Asst. Prof. in Machine Learning at UofT. #LongCOVID patient.
https://www.cs.toronto.edu/~cmaddis/
Max Zhdanov @maxxxzdn.bsky.social PhD candidate at AMLab with Max Welling and Jan-Willem van de Meent.
Research in physics-inspired and geometric deep learning.
Kjell Jorner @valencekjell.com Assistant Professor of Digital Chemistry at @ethzurich.bsky.social. Making chemistry more sustainable within NCCR Catalysis. Views my own.
https://dcl.ethz.ch
https://www.valencekjell.com
Thomas Pinder @thomas-pinder.bsky.social Bayesian statistics, Gaussian processes, and causal inference.
https://thomas-pinder.com
Ian Goodfellow @ian-goodfellow.bsky.social Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Founding chairman of www.publichealthactionnetwork.org
Shani Cadwallender @overleaf.bsky.social Poet- PhD student at Birkbeck, working on trees and marginal identities in C19th women’s poetry.
Working-class, mixed, bi, AuDHD, RRMSer. She/her. Loves beer, records, trees and dogs.
Kamilė Stankevičiūtė @kamile.st Machine Learning PhD student at Cambridge University, visiting Cornell. Previously at Oxford and Google. Principled ML & applications in medicine.
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
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