Nikhil Garg @nkgarg.bsky.social I study algorithms/learning/data applied to democracy/markets/society. Asst. professor at Cornell Tech. https://gargnikhil.com/. Helping building personalized Bluesky research feed: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest
@sambowyer.bsky.social @sambowyer.bsky.social 
Jan Peters @jan-peters.bsky.social #RobotLearning Professor (#MachineLearning #Robotics) at @ias-tudarmstadt.bsky.social of
@tuda.bsky.social @dfki.bsky.social @hessianai.bsky.social 
Simons Institute for the Theory of Computing @simonsinstitute.bsky.social The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
Raymond Chua @raymondrchua.bsky.social NeuroAI PhD Candidate at McGill / Mila.
Loves: 🧠 🏕️ 🏔️ 🏊🏻♂️ 🚴🏻♂️ 🏃🏻♂️ 🎨📚☕
https://raymondchua.github.io
Risa Ueno @risaueno.bsky.social 
Leiv Rønneberg @ltronneberg.bsky.social Postdoctoral fellow @ University of Oslo (back home in 🏔️🇳🇴🏔️), Bayesian stats (high-dimensional, nonparametric, ML), biostatistics, computation. Previously @ MRC Biostatistics Unit, University of Cambridge 🇬🇧
George Cantwell @gcant.bsky.social Neural network interested in statistics, physics, and computing. Mostly network science. Asst prof @ Cambridge
Cheng Soon Ong @ml4x.bsky.social Curious.
Researching #MachineLearning for Scientific Discovery. #ml4science #ai4science
I choose #OpenSource and #OpenScience .
Solving problems in #LifeScience #Genomics #RadioAstronomy
Read Mathematics for Machine Learning at https://mml-book.com
Csaba Szepesvari @skiandsolve.bsky.social ⛷️ ML Theorist carving equations and mountain trails | 🚴♂️ Biker, Climber, Adventurer | 🧠 Reinforcement Learning: Always seeking higher peaks, steeper walls and better policies.
https://ualberta.ca/~szepesva
Francis Bach @bachfrancis.bsky.social Researcher in machine learning
Ben Poole @benmpoole.bsky.social research scientist at google deepmind.
phd in neural nonsense from stanford.
poolio.github.io
Arnaud Doucet @arnauddoucet.bsky.social Senior Staff Research Scientist @Google DeepMind
https://arnauddoucet.github.io/
Nora Belrose @norabelrose.bsky.social AI, philosophy, spirituality
Head of interpretability research at EleutherAI, but posts are my own views, not Eleuther’s.
Saffron Huang @saffron.bsky.social how shall we live together?
societal impacts researcher at Anthropic
saffronhuang.com
Javier Gonzalez @javiergonzalezh.bsky.social Senior Principal Researcher @MSRCambridge. Working on reasoning in language models.
Diana Cai @dianarycai.bsky.social Machine learning researcher
www.dianacai.com
Hilde Kuehne @hildekuehne.bsky.social Professor for CS at the Tuebingen AI Center and affiliated Professor at MIT-IBM Watson AI lab - Multimodal learning and video understanding - GC for ICCV 2025 - https://hildekuehne.github.io/
Jean-Rémi King @jeanremiking.bsky.social Researcher in Neuroscience & AI
CNRS, Ecole Normale Supérieure, PSL
currently detached to Meta
Klara Kaleb @klarakaleb.bsky.social postdoc @oxfordstatistics.bsky.social working on (robust) LMs for @naturerecovery.bsky.social 🌱
prev PhD student @clopathlab.bsky.social 🧠 & AI resident @ Google X 🤖
Alex Volkov (Thursd/AI) @altryne.bsky.social Host @ ThursdAI.news pod
AI Evangelist @ Weights & Biases
CEO @ Targum.Video
Opinions my own
Alex Thiery @alexxthiery.bsky.social Associate Prof. in ML & Statistics at NUS 🇸🇬
MonteCarlo methods, probabilistic models, Inverse Problems, Optimization
https://alexxthiery.github.io/
Laura @lauraruis.bsky.social PhD supervised by Tim Rocktäschel and Ed Grefenstette, part time at Cohere. Language and LLMs. Spent time at FAIR, Google, and NYU (with Brenden Lake). She/her.
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
Valentin De Bortoli @vdebortoli.bsky.social messing up with gaussians
Henry Gouk @handle.invalid Assistant Professor (Lecturer) and RAEng Research Fellow at University of Edinburgh 🏴. Working on Verifiable AI.
henrygouk.com
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/
Razvan Pascanu @razvan-pascanu.bsky.social EEML Organizer, ML researcher
Gabriele Pergola @pergolagb.bsky.social Assistant Professor in Natural Language Processing (NLP) at the University of Warwick, UK.
Personal Webpage: https://warwick.ac.uk/fac/sci/dcs/people/u1898418/
Dr. Fei-Fei Li @drfeifei.bsky.social Prof (CS @Stanford), Co-Director @StanfordHAI, Cofounder/CEO @theworldlabs, CoFounder @ai4allorg #AI #computervision #robotics #AI-healthcare
Richard McElreath 🐈⬛ @rmcelreath.bsky.social Anthropologist - Bayesian modeling - science reform - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/- L Laurence Aitchison @laurenceai.bsky.social Lecturer at the University of Bristol.
probabilistic ML, optimisation, interpretability, LLM evals.
Guillaume Dalle @gdalle.bsky.social Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
Luke Zettlemoyer @lukezettlemoyer.bsky.social Professor at UW; Researcher at Meta. LMs, NLP, ML. PNW life.
Katja Hofmann @katjahofmann.bsky.social At Microsoft Research. Lead of https://aka.ms/game-intelligence - we drive innovation in machine learning with applications in games. https://iclr.cc Board.
Tom Everitt @tom4everitt.bsky.social AGI safety researcher at Google DeepMind, leading causalincentives.com
Personal website: tomeveritt.se
Marc Deisenroth @deisenroth.bsky.social Machine learning, environmental modeling, sustainability, robotics
Research Director @ Google DeepMind, Professor @ UCL
He/him
Andrew Gordon Wilson @andrewgwils.bsky.social Machine Learning Professor
https://cims.nyu.edu/~andrewgw
Tamara Broderick @tamarabroderick.bsky.social Associate Professor at MIT EECS, LIDS.
@grumpybavarian.bsky.social @grumpybavarian.bsky.social Science at Google DeepMind. AlphaQubit. Ex-BenevolentAI. Opinions are my own.
Adrien Corenflos @adriencorenflos.bsky.social Assistant Professor at the university of Warwick.
I compute integrals for a living.
https://adriencorenflos.github.io/
Peter Richtarik @richtarik.bsky.social Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
Hannes Stark @hannes-stark.bsky.social MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
Maximilian Scholz @scholzmx.bsky.social PhD researcher, building infrastructure (and pokemon) for Bayesian workflows, simulating everything.
Music, cooking, exercise enthusiast. http://fediscience.org/@scholzmx
Ben Burtenshaw @benburtenshaw.bsky.social Building tools for AI datasets. 😽
Looking in AI datasets. 🙀
Sharing clean open AI datasets. 😻
at https://bsky.app/profile/hf.co
Noah Goodman @noahdgoodman.bsky.social Professor of Natural and Artificial Intelligence @Stanford. Safety and alignment @GoogleDeepMind.
Jonathan Richard Schwarz @ NeurIPS @schwarzjn.bsky.social Foundational Research Lead @ Thomson Reuters | Advisor @ UK AISI | ex- Fellow @ Harvard, ex- Senior RS @ GoogleDeepMind | PhD @ UCL / Gatsby Unit 🇬🇧🇩🇪🇺🇲🇭🇰
https://jonathan-schwarz.github.io/
Brandon Rohrer @brandonrohrer.com Robotics and Reinforcement Learning tinkerer.
brandonrohrer.org
Wrangler of algorithms.
Eater of bread. Sipper of whisky.
Reports to a Shih Tzu.
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” 🦮
Dimitris Papailiopoulos @dimitrisp.bsky.social Researcher @MSFTResearch; Prof @UWMadison (on leave); learning in context; thinking about reasoning; babas of Inez Lily.
https://papail.io
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
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. 
Manjari Narayan | @Neurostats @neurostats.org AI in Bio & Health & Therapeutic Development
Bio: https://linktr.ee/mnarayan
Substack: https://blog.neurostats.org
Peek into my brain: notes.manjarinarayan.org
Previously @dynotx @StanfordMed PhD@RiceU_ECE | BS@ECEILLINOIS
🧪🧮⚕️🧬🧠🖥🤖📈✍️🩺👩📈📉
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
Vicki @vickiboykis.com Founding list[float] engineer. Recsys. Personalization. Infra. Systems. Normcore code. Nutella. Vectors. Words. Vibes. Bad puns (soon).
https://vickiboykis.com/what_are_embeddings/
James McDermott @jmmcd.bsky.social Senior Lecturer in Computer Science, University of Galway, Ireland. I'd rather write programs that write programs than write programs.
Deb Raji @rajiinio.bsky.social AI accountability, audits & eval. Keen on participation & practical outcomes. CS PhDing @UCBerkeley. 
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.
Atlas Wang @atlaswang.bsky.social https://www.vita-group.space/ 👨🏫 UT Austin ML Professor (on leave)
https://www.xtxmarkets.com/ 🏦 XTX Markets Research Director (NYC AI Lab)
Superpower is trying everything 🪅
Newest focus: training next-generation super intelligence - Preview above 👶
Austin Tripp @austinjtripp.bsky.social (ML ∪ Bayesian optimization ∪ active learning) ∩ (drug discovery)
Researcher @valenceai.bsky.social
Details: austintripp.ca
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 🚀
Ferenc Huszár @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
Luigi Acerbi @lacerbi.bsky.social Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki - Finnish Centre for AI - ELLIS Institute Finland | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
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
Cian Eastwood @cianeastwood.bsky.social ML research scientist @RelationRx | Generative models and generalization for problems in drug discovery.
📍London 🔗 cianeastwood.github.io
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
Megan Stanley @megstanley.bsky.social Microsoft Research AI for Science, previously physics @ Cambridge. views my own
Jonathan Lorraine @jonlorraine.bsky.social Research scientist @NVIDIA | PhD in machine learning @UofT. Previously @Google / @MetaAI. Opinions are my own. 🤖 💻 ☕️
Noam Brown @polynoamial.bsky.social Researching reasoning at OpenAI | Co-created Libratus/Pluribus superhuman poker AIs, CICERO Diplomacy AI, and OpenAI o-series / 🍓
Andrew Lee @ajyl.bsky.social Post-doc @ Harvard. PhD UMich. Spent time at FAIR and MSR. ML/NLP/Interpretability
Alex Makelov @amakelov.bsky.social Mechanistic interpretability
Creator of https://github.com/amakelov/mandala
prev. Harvard/MIT
machine learning, theoretical computer science, competition math.
Carl Allen @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?👌…)
Adrián Javaloy @javaloyml.bsky.social Lecturer at the University of Bath working on Machine Learning. Previously in Edinburgh, Saarbrücken, Tübingen, and Murcia.
🌐 adrianjav.github.io
Emile Mathieu @mathieuemile.bsky.social Machine Learning researcher at @Xaira_Thera (former @CambridgeEllis and @OxCSML) opinions expressed are my own.
Hugging Face @hf.co The AI community building the future! 
Max Bartolo @maxbartolo.bsky.social Building robust LLMs @Cohere
Stephen Wild @stephenjwild.bsky.social I try to put straight lines through things but usually fail. Try to be Bayesian when I can. Views my own. RT/like != endorsement. 
Jordan Ellenberg @jsellenberg.bsky.social Mathematician, writer, Orioles fan, Wisconsinite, cargo shorts dad
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
joao @joao.omg.lol Grief Astronomer
A special snowflake existing in 196883 dimensions
#ActuallyAutistic He/Him
Michael Hutchinson @mjhutchinson141.bsky.social 
Alex Shtoff @alexshtf.bsky.social Principal scientist @ TII
Visit my research blog at https://alexshtf.github.io
Maximilian Kasy @maxkasy.bsky.social Econ prof at Oxford.
Machine learning, politics, econometrics, inequality, random reading recs.
maxkasy.github.io/home/
Ayush Bharti @ayushbharti.bsky.social Academy Research Fellow at the Dept. of Computer Science, Aalto University, Finland. Affiliated with the Finnish Center for Artificial Intelligence.
Website: http://bharti-ayush.github.io
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/
Alan Jeffares @alanjeffares.bsky.social Multiplying matrices @Cambridge_Uni & @MSFTResearch | PhD student in Machine Learning | Previously MSc @ucl & BSc @ucddublin
alanjeffares.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
Uri Shalit @urish.bsky.social Machine learning researcher, working on causal inference and healthcare applications
Karl Rohe @karlrohe.bsky.social NO KINGS
“Overly optimistic” 🦮 in Statistics.
Listening in statistics.
Statistics Professor at UW Madison.
galen @galenbrain.bsky.social theoretical neuro, vision, ml. phding @ uc berkeley. music, muay thai.
neural computation: https://www.dissonances.blog/p/neural-computation
Molly White @molly.wiki writes citationneeded.news • runs @web3isgoinggreat.com and @influence.citationneeded.news • tech researcher and cryptocurrency industry critic • software engineer • wikipedian
support my work: citationneeded.news/signup
links: mollywhite.net/linktree
💗💜💙
Martin Wattenberg @wattenberg.bsky.social Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
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
Department of Statistics @oxfordstatistics.bsky.social We're the Department of Statistics at the University of Oxford (UK). We provide teaching & complete research on computational statistics and statistical methodology, probability, bioinformatics and mathematical genetics.
https://www.stats.ox.ac.uk/
Claire Vernade @claireve.bsky.social Professor at UT Nuremberg, Germany
I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
Sasho Nikolov @thesasho.bsky.social Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.