Richard Lemarchand @rich-lem.bsky.social Former Naughty Dog Lead Game Designer, now a professor in the USC Games program. Wrote 'A Playful Production Process' for the MIT Press. He/him.
Eskil Steenberg Hald @quelsolaar.bsky.social C programming, creativity and game development.
arXiv cs.CE Computational Engineering, Finance, and Science @csce-bot.bsky.social Unofficial bot by @vele.bsky.social w/ http://github.com/so-okada/bXiv https://arxiv.org/list/cs.CE/new
List https://bsky.app/profile/vele.bsky.social/lists/3lim7ccweqo2j
ModList https://bsky.app/profile/vele.bsky.social/lists/3lim3qnexsw2g
Thomas Steinke @stein.ke Researcher in computer science, math, machine learning, (differential) privacy, AI, etc. at Anthropic.
Kiwi🇳🇿 in California🇺🇸
http://stein.ke/
Sasho Nikolov @thesasho.bsky.social Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
Jon Ullman @thejonullman.bsky.social Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
Jess Sorrell @optimistsinc.bsky.social Assistant prof at JHU CS. Interested in theory of ML, privacy, cryptography. All cat pictures my own and do not represent the cats of my employer
Gautam Kamath @gautamkamath.com Assistant Prof of CS at NYU Courant. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com
Bryan Chan @chanpyb.bsky.social PhD student at University of Alberta. Interested in reinforcement learning, imitation learning, machine learning theory, and robotics
https://chanb.github.io/
Natalie Collina @ncollina.bsky.social CS PhD student at UPenn studying strategic human-AI interaction. Nataliecollina.com
Tim van Erven @timvanerven.nl Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of explainable AI.
www.timvanerven.nl
Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
Ioannis Kontoyiannis @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]
Amartya Sanyal @amartyasanyal.bsky.social Assistant Professor @Dept. Of Computer Science, University of Copenhagen, Ex Postdoc @MPI-IS, ETHZ, PhD @University of Oxford, B.Tech @CSE,IITK.
Ben Rubinstein @bipr.bsky.social ML & Privacy Prof at the University of Melbourne, Australia. Deputy Dean Research. Prev Microsoft Research, Berkeley EECS PhD. @bipr on the X bird site. He/him.
Gavin Brown @gavin-brown.bsky.social Postdoc at UW CSE. Differential privacy, memorization in ML, and learning theory.
Steven Wu @zstevenwu.bsky.social Computer science professor at Carnegie Mellon. Researcher in machine learning. Algorithmic foundations of responsible AI (e.g., privacy, uncertainty quantification), interactive learning (e.g., imitation/reinforcement learning).
https://zstevenwu.com/
Dan Roy @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.
Gintare Karolina Dziugaite @gkdziugaite.bsky.social Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org 
Idan Attias @idanattias.bsky.social Postdoc researcher at IDEAL Institute in Chicago, hosted by UIC and TTIC.
My research interests are in machine learning theory, data-driven sequential decision-making, and theoretical computer science.
https://www.idanattias.com/
Quanquan Gu @quanquangu.bsky.social Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own
CSML IIT Lab @pontilgroup.bsky.social Computational Statistics and Machine Learning (CSML) Lab | PI: Massimiliano Pontil | Webpage: csml.iit.it | Active research lines: Learning theory, ML for dynamical systems, ML for science, and optimization.
Erfan Mirzaei @erfunmirzaei.bsky.social Researcher @PontilGroup.bsky.social| Ph.D. Student @ellis.eu, @Polytechnique, and @UniGenova.
Interested in (deep) learning theory and others.
https://erfunmirzaei.github.io/
Tosca Lechner @toscalechner.bsky.social Post-doctoral Fellow @ Vector Institute, Toronto
Cyrus Rashtchian @cyroid.bsky.social Researcher at Google. Improving LLM factuality, RAG and multimodal alignment and evaluation. San Diego. he/him ☀️🌱🧗🏻🏐 Prev UCSD, MSR, UW, UIUC.
Yuli Slavutsky @yulislavutsky.bsky.social Stats Postdoc at Columbia, @bleilab.bsky.social
Statistical ML, Generalization, Uncertainty, Empirical Bayes
https://yulisl.github.io/
Michael Kearns @mkearnsphilly.bsky.social CS prof at Penn, Amazon Scholar in AWS. Interested in ML theory and related topics, as well as photography and Gilbert and Sullivan. Website: www.cis.upenn.edu/~mkearns
@hugorichard.bsky.social @hugorichard.bsky.social Researcher at Criteo. Interested in Bandits, Privacy, Competitive Analysis, Reinforcement Learning.
https://hugorichard.github.io/
Jascha Sohl-Dickstein @jascha.sohldickstein.com Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
Thomas Kipf @tkipf.bsky.social Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more).
📍 San Francisco, CA
Laurent Dinh @laurentdinh.bsky.social Internet pedestrian. Machine learning mercenary. ᕕ(ツ)ᕗ (he/him/his)
https://laurent-dinh.github.io/
Sander Dieleman @sedielem.bsky.social Blog: https://sander.ai/
🐦: https://x.com/sedielem
Research Scientist at Google DeepMind (WaveNet, Imagen 3, Veo, ...). I tweet about deep learning (research + software), music, generative models (personal account).
Chris Olah @colah.bsky.social Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.
Nataniel Ruiz @natanielruiz.bsky.social senior research scientist at Google | author of DreamBooth
https://natanielruiz.github.io/
Jonathan Frankle @jfrankle.com Chief AI Scientist at Databricks. Founding team at MosaicML. MIT/Princeton alum. Lottery ticket enthusiast. Working on data intelligence.
Carl Vondrick @cvondrick.bsky.social Professor at Columbia. Computer Vision and Machine Learning 
Hannes Stark @hannes-stark.bsky.social MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
François Fleuret @francois.fleuret.org Research Scientist Meta/FAIR, Prof. University of Geneva, co-founder Neural Concept SA. I like reality.
https://fleuret.org
Alex Alemi @alexalemi.bsky.social Machine Learning Researcher
https://alexalemi.com
https://blog.alexalemi.com
Brandon Amos @bdamos.bsky.social 🧙🏻♀️ scientist at Meta NYC | http://bamos.github.io
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
🇷🇸🇲🇪🇧🇦
Jon Barron @jonbarron.bsky.social Principal research scientist at Google DeepMind. Synthesized views are my own.
📍SF Bay Area 🔗 http://jonbarron.info
This feed is a mostly-incomplete mirror of https://x.com/jon_barron, I recommend you just follow me there.
Jun-Yan Zhu @junyanz.bsky.social Assistant Professor of the Generative Intelligence Lab at Carnegie Mellon University. Understanding and creating pixels. All the code and models are available at http://github.com/junyanz.
Hossein Mobahi @thegradient.bsky.social Senior Research Scientist at Google DeepMind. I ∈ Optimization ∩ Machine Learning. Fan of IronMaiden🤘.Here to discuss research 🤓
Rémi Flamary @rflamary.bsky.social ML Professor at École Polytechnique. Python open source developer. Co-creator/maintainer of POT, SKADA. https://remi.flamary.com/
Alex Tong @alextong.bsky.social ML + Cells + Proteins. PI @ AITHYRA https://alextong.net
Peyman Milanfar @docmilanfar.bsky.social Distinguished Scientist at Google. Computational Imaging, Machine Learning, and Vision. Posts are personal opinions. May change or disappear over time.
http://milanfar.org
tongzhou wang @tongzhou.bsky.social ai. ex ml phd@mit, pytorch@fair, ai&cv@berkeley
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
Marco Cuturi @marcocuturi.bsky.social machine learning researcher @ Apple machine learning research 
Brad Neuberg @bradneuberg.bsky.social Machine Learning engineer @planet. Mentor with Frontier Development Lab. Previously at Dropbox & Google. Started coworking. Interests: Machine Learning, space, Earth Observation, VR.
http://codinginparadise.org
Twitter: @bradneuberg
Christopher Manning @chrmanning.bsky.social Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
Rosanne Liu @rosanneliu.com Founder & executive & community builder & organizer & researcher
ML Collective (mlcollective.org)
Google DeepMind
rosanneliu.com
Patrick Kidger @patrickkidger.bsky.social 🚀 Doing something new. Curing uncured diseases.
🧪 antibodies+AI, neural ODEs, open-source JAX ecosystem.
👨💻 ex-{Cradle, Google, Oxford}.
📍 Zürich, Switzerland
Gabriel Peyré @gabrielpeyre.bsky.social CNRS researcher at ENS
Valentin De Bortoli @vdebortoli.bsky.social messing up with gaussians
Kosta Derpanis @csprofkgd.bsky.social #CS Associate Prof York University, #ComputerVision Researcher, VectorInst Faculty Affiliate, TPAMI AE, ELLIS4Europe Member, #ECCV2026 Publicity Chair
📍Toronto 🇨🇦 🔗 csprofkgd.github.io
🗓️ Joined Nov 2024
Jiatao Gu @jgu32.bsky.social Machine Learning Researcher @Apple MLR
Incoming Assistant Professor @Penn CIS
See more details https://jiataogu.me
karpathy @karpathy.bsky.social AI @ OpenAI, Tesla, Stanford
Kyle Cranmer @kylecranmer.bsky.social Director Data Science Institute @UWMadison, Professor of Physics,
EiC @MLSTjournal. Physics, stats/ML/AI, open science.
Kevin Murphy @sirbayes.bsky.social Probabilistic ML researcher at Google Deepmind
@tomgoldstein.bsky.social @tomgoldstein.bsky.social 
Alex Lew @alexlew.bsky.social Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
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)
Karen Ullrich (s/h) @karen-ullrich.bsky.social Research scientist at FAIR NY ❤️ LLMs + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
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
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.
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
Idris Sunmola @idris1.bsky.social Johns Hopkins CS PhD student.
#MedicalRobotics #ComputerVision #DeepLearning #Guitar
Adrián Javaloy @javaloyml.bsky.social Postdoc at the University of Edinburgh working on Machine Learning. Previously in Saarbrücken, Tübingen, and Murcia.
🌐 adrianjav.github.io
Lena Zellinger @lenazellinger.bsky.social ELLIS PhD student @ University of Edinburgh
Mostly working on guarantees for variational 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/
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
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.
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/
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