Sébastien Darses @sebdarses.bsky.social Math Assoc. Prof. (on leave from France)
Research: Prob / Stat / Ant
Teaching Project (non-profit): https://highcolle.com/
https://sites.google.com/view/sebastien-darses/research?authuser=0
@phil-fradkin.bsky.social @phil-fradkin.bsky.social Born too late to explore the Earth
Too early to explore the Galaxy
Just in time to model the cell and climb some rocks
PhD @ UofT and Vector Institute
Yann LeCun @yann-lecun.bsky.social Professor a NYU; Executive Chairman at AMI Labs..
Researcher in AI, Machine Learning, Robotics, etc.
ACM Turing Award Laureate.
http://yann.lecun.com
Elie Amar @elieamar.bsky.social Data Scientist & AI Expert | Growing a 6+ Figure Business | Entrepreneur 🔥
Daniel Dobriy @smntc.bsky.social Researcher & faculty member @DPKM dedicated to the field of AI, with the focus on knowledge technologies (knowledge graphs, semweb, RAG) & their use in e-gov, skills matching, research ecosystem, digital humanities and education. Partner @km-a.bsky.social.
NeurIPS Conference @neuripsconf.bsky.social 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.
@ruiqigao.bsky.social @ruiqigao.bsky.social 
Dr Sasha Luccioni @sashamtl.bsky.social Climate & AI Lead @HuggingFace, TED speaker, WiML board member, TIME AI 100 (She/her/Dr/🦋)
Rosanne Liu @rosanneliu.com Founder & executive & community builder & organizer & researcher
ML Collective (mlcollective.org)
Google DeepMind
rosanneliu.com
Jeff Clune @jeffclune.com Professor, Computer Science, University of British Columbia. CIFAR AI Chair, Vector Institute. Senior Advisor, DeepMind. ML, AI, deep RL, deep learning, AI-Generating Algorithms (AI-GAs), open-endedness. 
Jonathan Frankle @jfrankle.com Chief AI Scientist at Databricks. Founding team at MosaicML. MIT/Princeton alum. Lottery ticket enthusiast. Working on data intelligence.
Shakir Mohamed @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
@kyunghyuncho.bsky.social @kyunghyuncho.bsky.social a mediocre combination of a mediocre AI scientist, a mediocre physicist, a mediocre chemist, a mediocre manager and a mediocre professor.
see more at https://kyunghyuncho.me/
Pablo Samuel Castro @pcastr.bsky.social Señor swesearcher @ Google DeepMind, adjunct prof at Université de Montréal and Mila. Musician. From 🇪🇨 living in 🇨🇦.
https://psc-g.github.io/
Tanishq Mathew Abraham @iscienceluvr.bsky.social PhD at 19 |
Founder and CEO at @MedARC_AI |
Research Director at @StabilityAI |
@kaggle Notebooks GM |
Biomed. engineer @ 14 |
TEDx talk➡https://bit.ly/3tpAuan
Nate Foster @natefoster.bsky.social Husband, dad, cyclist, OCaml h4x0r, EPFL professor (in that order)
@yeewhye.bsky.social @yeewhye.bsky.social 
Dimitris Papailiopoulos @dimitrisp.bsky.social Researcher @MSFTResearch; Prof @UWMadison (on leave); learning in context; thinking about reasoning; babas of Inez Lily.
https://papail.io
Aaron Schein @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” 🦮
Quanquan Gu @quanquangu.bsky.social Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own
Cem Anil @cemanil.bsky.social Research scientist at Anthropic.
PhD in machine learning from the University of Toronto and Vector Institute.
Prev: NVIDIA, Google
Dylan Foster 🐢 @djfoster.bsky.social Incoming Assistant Professor in EECS and Statistics at UC Berkeley.
Principal Researcher @ Microsoft Research NE/NYC. Previously @ MIT, Cornell.
AI + RL Foundations. RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
http://dylanfoster.net
Hossein Mobahi @thegradient.bsky.social Senior Research Scientist at Google DeepMind. I ∈ Optimization ∩ Machine Learning. Fan of IronMaiden🤘.Here to discuss research 🤓
Jes Frellsen @jesfrellsen.bsky.social Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU)
https://frellsen.org
Michele Guindani @mguindani.bsky.social Statistician. Bayesian. Professor, Department of Biostatistics, University of California, Los Angeles. Views are my own. He/Him.
https://linktr.ee/micheleguindani
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/
Alicia Curth @aliciacurth.bsky.social Machine Learner by day, 🦮 Statistician at ❤️
In search of statistical intuition for modern ML & simple explanations for complex things👀
Interested in the mysteries of modern ML, causality & all of stats. Opinions my own.
https://aliciacurth.github.io
Dr. Angelica Lim @petitegeek.bsky.social Computing Science prof in multimodal embodied AI, emotion, interaction at SFU in Vancouver 🇨🇦🇵🇭 Director of the Rosie Lab www.rosielab.ca Canada CIFAR AI Chair. Previously at SoftBank Robotics 🤖 FR/JP
Rohan Pandey @rohanpandey.bsky.social CS PhD @UMassAmherst | Working on Robustness, NLP & Healthcare | Prev. @mckinsey @ShivNadarUniv | Side Quest: Dj & Deadlift | Opinions: Personal
Bharath Radhakrishnan @bharathr98.com 
xuan (ɕɥɛn / sh-yen) @xuanalogue.bsky.social Assistant professor at NUS. Scaling cooperative intelligence & infrastructure for an increasingly automated future. PhD @ MIT ProbComp / CoCoSci. Pronouns: 祂/伊
Vicente Ordonez @vicenteor.bsky.social Rice University, Associate Professor of Computer Science. Computer Vision, Multimodal AI, Deep Learning. Houston, Texas. Check our work at https://vislang.ai/- T Thomas Dietterich @tdietterich.bsky.social Safe and robust AI/ML, computational sustainability. Former President AAAI and IMLS. Distinguished Professor Emeritus, Oregon State University. https://web.engr.oregonstate.edu/~tgd/
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.
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
Clément Canonne @ccanonne.github.io Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
Jay 🦋 @jay.bsky.team Founder & Chief Innovation Officer @ Bluesky
Working on @attie.ai
🌱 🪴 🌳
Ravid Shwartz Ziv @shwartzzzivravid.bsky.social Faculty Fellow and Assistant Professor at
NYU's Center of Data Science
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.
Maxim Raginsky @mraginsky.bsky.social web: http://maxim.ece.illinois.edu
substack: https://realizable.substack.com
Ben Recht @beenwrekt.bsky.social Blog: https://argmin.substack.com/
Webpage: https://people.eecs.berkeley.edu/~brecht/
The Irrational Decision: How We Gave Computers the Power to Choose for Us. (Princeton) https://press.princeton.edu/books/hardcover/9780691272443/the-irrational-decision
David Pfau @davidpfau.com So far I have not found the science, but the numbers keep on circling me.
Views my own, unfortunately.
Konrad Kording @kordinglab.bsky.social @Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io
Melanie Mitchell @melaniemitchell.bsky.social Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems.
Website: https://melaniemitchell.me
Substack: https://aiguide.substack.com/
Zachary Lipton @zacharylipton.bsky.social Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
Gaël Varoquaux @gaelvaroquaux.bsky.social Research & code: Research director @inria
►Data, Health, & Computer science
►Python coder, (co)founder of scikit-learn, joblib, & @probabl.bsky.social
►Sometimes does art photography
►Physics PhD
Tom Diethe @tomdiethe.com Head of the Centre for Artificial Intelligence, DS&AI, Biopharma R&D, AstraZeneca Views are my own
Mihai Nica @mihainica.bsky.social Mathematician working on probability and ML at U of Guelph in Canada. I also make math videos at https://youtube.com/@MihaiNicaMath
Andrei Bursuc @abursuc.bsky.social Research Scientist at valeo.ai | Teaching at Polytechnique, ENS | Alumni at Mines Paris, Inria, ENS | AI for Autonomous Driving, Computer Vision, Machine Learning | Robotics amateur
⚲ Paris, France 🔗 abursuc.github.io
Dileep George @dileeplearning @dileeplearning.bsky.social AGI research @DeepMind.
Ex cofounder & CTO Vicarious AI (acqd by Alphabet),
Cofounder Numenta
Triply EE (BTech IIT-Mumbai, MS&PhD Stanford). #AGIComics
blog.dileeplearning.com
Grzegorz Chrupała @grzegorz.chrupala.me Speech • Language • Learning
https://grzegorz.chrupala.me
@ Tilburg University
David Mimno @dmimno.bsky.social He teaches information science at Cornell. http://mimno.infosci.cornell.edu
Clément Dumas @butanium.bsky.social Master student at ENS Paris-Saclay / aspiring AI safety researcher / improviser
Prev research intern @ EPFL w/ wendlerc.bsky.social and Robert West
MATS Winter 7.0 Scholar w/ neelnanda.bsky.social
https://butanium.github.io
Aaron Mueller @amuuueller.bsky.social Postdoc at Northeastern and incoming Asst. Prof. at Boston U. Working on NLP, interpretability, causality. Previously: JHU, Meta, AWS- D David Bau @davidbau.bsky.social Interpretable Deep Networks. http://baulab.info/ @davidbau
Mor Geva @megamor2.bsky.social https://mega002.github.io
Niklas Stoehr @niklasstoehr.bsky.social Gemini Post-Training ⚫️ Research Scientist at Google DeepMind ⚫️ PhD from ETH Zurich
Nina Rimsky @ninarimsky.bsky.social AI Safety Research // Software Engineering
Gabriele Sarti @gsarti.com Open-source interpretability to seize the means of prediction. Postdoc @ Northeastern, @ndif-team.bsky.social w/ @davidbau.bsky.social.
gsarti.com
Naomi Saphra @nsaphra.bsky.social Waiting on a robot body. All opinions are universal and held by both employers and family. ML/NLP professor.
nsaphra.net
Dashiell @dashiells.bsky.social Machine learning haruspex
Joe Stacey @joestacey.bsky.social NLP PhD student at Imperial College London and Apple AI/ML Scholar.
Daniel Johnson @ddjohnson.bsky.social 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
Alex Makelov @amakelov.bsky.social Mechanistic interpretability
Creator of https://github.com/amakelov/mandala
prev. Harvard/MIT
machine learning, theoretical computer science, competition math.
Andrew Lee @ajyl.bsky.social Post-doc @ Harvard. PhD UMich. Spent time at FAIR and MSR. ML/NLP/Interpretability
Tim G. J. Rudner @timrudner.bsky.social 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
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)
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
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.
Marvin Schmitt @marvin-schmitt.com ⛵️ Research Scientist @ Midjourney
🇪🇺 Member @ellis.eu
🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence
🎓 PhD+MSc Computer Science, MSc Psychology
🏡 https://marvin-schmitt.com
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
Seth Axen 🪓 @sethaxen.com Empowering scientists with machine learning @mlcolab.org. Sometimes #Bayesian. Usually #FOSS. Often in #JuliaLang.
Expat: 🇺🇸 ➡️ 🇩🇪
💼 On the job market (remote/southwest Germany)
sethaxen.com
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/
Andreas Krause @arkrause.bsky.social Professor at ETH Zurich
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