Cassidy Laidlaw @cassidylaidlaw.bsky.social PhD student at UC Berkeley studying RL and AI safety.
https://cassidylaidlaw.com
Yihe Deng @yihe-deng.bsky.social CS PhD candidate @UCLA | Prev. Research Intern @MSFTResearch, Applied Scientist Intern @AWS | LLM post-training, multi-modal learning
https://yihedeng9.github.io
Siddarth Venkatraman @ NeurIPS 2024 @hyperpotatoneo.bsky.social PhD student at Mila | Diffusion models and reinforcement learning 🧐 | hyperpotatoneo.github.io
Raphaël Avalos @raphael.avalos.fr Fine-tuning LLMs @Cohere | PhD Candidate on RL @VUB
Jesse Farebrother @brosa.ca Ph.D. Student studying AI & decision making at Mila / McGill University. Currently at FAIR @ Meta. Previously Google DeepMind & Google Brain.
https://brosa.ca
Yutai Zhou @yutaizh.bsky.social CS PhD student at @uscviterbi.bsky.social. Interested in (inverse) RL, imitation learning, jax, and bayesian methods.
Alizée Pace @alizeepace.bsky.social Gemini Post-Training @ Google DeepMind
Previously: ETH Zurich, Cambridge, CERN
alizeepace.com
Martin Klissarov @martinklissarov.bsky.social research @ Google DeepMind
Karim Abdel Sadek @karimabdel.bsky.social Incoming PhD, UC Berkeley
Interested in RL, AI Safety, Cooperative AI, TCS
https://karim-abdel.github.io
Mahi Shafiullah @notmahi.bsky.social Building generally intelligent robots that *just work* everywhere, out of the box, at Berkeley AI Research (BAIR) and Meta FAIR.
Previously at NYU Courant, MIT and visiting researcher at Meta AI.
https://mahis.life/
Rushiv Arora @rushivarora.bsky.social ML Research Scientist at Dell AI by day, RL Researcher at night
https://rushivarora.github.io
Ivy Xueqing Yang @yangivyxq.bsky.social Assistant Professor of Economics & Finance @SIUE | Macroeconomics · Econometrics · Finance | Latent information and credible dynamic counterfactuals | xueqingyang.com
Jorge Ramírez-Ruiz @jramirezruiz.bsky.social Papá, postdoc in the Ebitz lab in Montreal | comp cog neuro & RL | intrinsically motivated about behavior, coffee, ecologies and agency 🇲🇽🇪🇸🇨🇦 UNAM, UdeS, UPF. How come life?
jorgeerrz.github.io
Alexandre Larouche @alexandrelarouche.bsky.social Ph.D. candidate, Generative Flow Networks / Gaining insights in machine learning
Reggie McLean @reggiemclean.bsky.social Reinforcement learning 🍒, machine learning. He/him.
reggiemclean.ca
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
AI Conference DL Countdown @dlcountdown.bsky.social Bot. I daily tweet progress towards machine learning and computer vision conference deadlines. Maintained by @chriswolfvision.bsky.social
Stanislav Fort @stanislavfort.bsky.social AI + security at AISLE | Stanford PhD in AI & Cambridge physics | scientific progress
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.
Kristian Lum @kldivergence.bsky.social Research Scientist at GDM. Statistician. Mostly work on Responsible AI. Academia-industry flip-flopper.
Marc Deisenroth @deisenroth.bsky.social Machine learning, environmental modeling, sustainability, robotics
Research Director @ Google DeepMind, Professor @ UCL
He/him
Victor Veitch @vveitch.bsky.social machine learning and artificial intelligence | University of Chicago / Google
Andrej Risteski @andrejristeski.bsky.social Machine learning researcher. Professor in ML department at CMU. 
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
Jonathan Malmaud @malmaud.bsky.social 
Mufan Li @mufan-li.bsky.social Assistant Professor @UWaterloo Statistics and @VectorInst | Prev: Postdoc @Princeton PhD @UofTStatSci
https://mufan-li.github.io/
Jenn Wortman Vaughan @jennwv.bsky.social Sr. Principal Research Manager 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 // http://jennwv.com
Lucas Beyer (bl16) @giffmana.ai Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian.
Anon feedback: https://admonymous.co/giffmana
📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
Yu Zhao @yuzhaouoe.bsky.social https://yuzhaouoe.github.io/ | third-year PhD Student @ University of Edinburgh | Prev. Intern @ Microsoft Research Cambridge | Opening the Black Box for Efficient Training/Inference
Sonia @soniajoseph.bsky.social AI researcher at Mila, visiting researcher at Meta
Also on X: @soniajoseph_
Yung-Sung Chuang @yungsung.bsky.social PhD student #MIT_CSAIL | Intern #MetaAI #Microsoft #MITIBMLab | BS #NTU in #Taiwan
Sara Hooker @sarahooker.bsky.social I lead Cohere For AI. Formerly Research
Google Brain. ML Efficiency, LLMs,
@trustworthy_ml.
David Dobre @busycalibrating.bsky.social PhD in ML @Mila/UdeM
LLM robustness, safety, interpretability 
Simone Scardapane @sscardapane.bsky.social I fall in love with a new #machinelearning topic every month 🙄
Ass. Prof. Sapienza (Rome) | Author: Alice in a differentiable wonderland (https://www.sscardapane.it/alice-book/)
Oliver Eberle @eberleoliver.bsky.social Senior Researcher Machine Learning at BIFOLD | TU Berlin 🇩🇪
Prev at IPAM | UCLA | BCCN
Interpretability | XAI | NLP & Humanities | ML for Science
Kirill Bykov @kirillbykov.bsky.social PhD student in Interpretable ML @UMI_Lab_AI, @bifoldberlin, @TUBerlin
Nils Feldhus @nfel.bsky.social Postdoctoral Researcher @ University of Groningen / GroNLP (@gronlp.bsky.social) interested in the interpretability and analysis of language models. Ex- BIFOLD, TU Berlin, DFKI. https://nfelnlp.github.io/
Zeynep Akata @zeynepakata.bsky.social Liesel Beckmann Distinguished Professor of Computer Science at Technical University of Munich and Director of the Institute for Explainable ML at Helmholtz Munich
Zining Zhu @zhuzining.bsky.social Asst Prof @ Stevens. Working on NLP, Explainable, Safe and Trustworthy AI. https://ziningzhu.github.io
Qianli Wang @ ACL 2025🇦🇹 @qiaw99.bsky.social Second-year PhD student at XplaiNLP group @TU Berlin: interpretability & explainability
Website: https://qiaw99.github.io
Xiaoyan Bai @elenal3ai.bsky.social PhD @UChicagoCS / BE in CS @Umich / ✨AI/NLP transparency and interpretability/📷🎨photography painting
Berk Ustun @berkustun.bsky.social Assistant Prof at UCSD. I work on safety, interpretability, and fairness in machine learning. www.berkustun.com
Katharina Beckh @kbeckh.bsky.social Data Scientist at Fraunhofer IAIS
PhD Student at University of Bonn
Lamarr Institute
XAI, NLP, Human-centered AI
Lorenz Linhardt @lorenzlinhardt.bsky.social PhD Student at the TU Berlin ML group + BIFOLD | BUA Fellow
Model robustness/correction 🤖🔧
Understanding representation spaces 🌌✨
Ribana Roscher @ribana.bsky.social Professor of Machine Learning in Agriculture at University of Bonn
Working on Explainable ML🔍, Data-centric ML🐿️, Sustainable Agriculture🌾, Earth Observation Data Analysis🌍, and more...- S Michael Tran @shardergatherer.bsky.social
Harry Cheon @scheon.com "Seung Hyun" | MS CS & BS Applied Math @UCSD 🌊 | LPCUWC 18' 🇭🇰 | AI Evaluation, Safety, Alignment | 🇰🇷
harry.scheon.com
Sebastian Bordt @sbordt.bsky.social Language models and interpretable machine learning. Postdoc @ Uni Tübingen.
https://sbordt.github.io/
Martin Wattenberg @wattenberg.bsky.social Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
Daniel Scalena @danielsc4.it Intern of TS @Cohere | PhDing @unimib 🇮🇹 & @GroNlp 🇳🇱, interpretability et similia
danielsc4.it
Daniel Arp @darpsky.bsky.social Assistant Professor at TU Wien
Machine Learning & Security
Farnoush Rezaei-Jafari @farnoushrj.bsky.social ML Ph.D. Candidate @tuberlin.bsky.social and @bifold.berlin | Explainable AI, Interpretability, Efficient Machine Learning
farnoushrj.github.io
Stefan Haufe @sparsity.bsky.social Professor of Machine Learning at TUBerlin, group leader at PTB. Lab account: @qailabs.bsky.social.
@sparsity@mastodon.social
tu.berlin/uniml/about/head-of-group
Johanna Vielhaben @johannavielhaben.bsky.social PhD candidate in the XAI group at Fraunhofer HHI
Sophia Sanborn @naturecomputes.bsky.social Searching for principles of neural representation | Neuro + AI @ enigmaproject.ai | Stanford | sophiasanborn.com
Ruizhe Li @ruizheli.bsky.social Assistant Professor at University of Aberdeen | Postdoc at UCL | PhD at University of Sheffield | mechanistic interpretability & multimodal LLMs | https://www.ruizhe.space
Mimansa Jaiswal @mimansaj.bsky.social Robustness, Data & Annotations, Evaluation & Interpretability in LLMs
http://mimansajaiswal.github.io/
Christina (Chrisy) Bornberg @variint.bsky.social Enjoy not enjoying ideals | Interpretability of modular convnets applied to 👁️ and 🛰️🐝 | she/her 🦒💕
variint.github.io
Joao Barbosa @jbarbosa.org INSERM group leader @ Neuromodulation Institute and NeuroSpin (Paris) in computational neuroscience.
How and why are computations enabling cognition distributed across the brain?
Expect neuroscience and ML content.
jbarbosa.org
parisneuro.fr
Bharath Radhakrishnan @bharathr98.com 
Jenny Kunz @jeku.bsky.social Postdoc at Linköping University🇸🇪. Doing NLP, particularly explainability, language adaptation, modular LLMs. I‘m also into🌋🏕️🚴.
André Panisson @panisson.bsky.social Principal Researcher @ CENTAI.eu | Leading the Responsible AI Team. Building Responsible AI through Explainable AI, Fairness, and Transparency. Researching Graph Machine Learning, Data Science, and Complex Systems to understand collective human behavior.
Sarah Wiegreffe @sarah-nlp.bsky.social Research in NLP (mostly LM interpretability & explainability).
Assistant prof at UMD CS + CLIP.
Previously @ai2.bsky.social @uwnlp.bsky.social
Views my own.
sarahwie.github.io
Marianne de Heer Kloots @mdhk.net Linguist in AI & CogSci 🧠👩💻🤖
PhD student @illc-uva.bsky.social
🌐 https://mdhk.net/
🐘 https://scholar.social/@mdhk
🐦 https://twitter.com/mariannedhk
Max Müller-Eberstein @mxij.me Postdoc AI Researcher (NLP) @ ITU Copenhagen
🧭 https://mxij.me
Anne Oeldorf-Hirsch @anneo.bsky.social Comm tech & social media research professor by day, symphony violinist by night, outside as much as possible otherwise. German/American Pacific Northwestern New Englander, #firstgen academic, she/her, 🏳️🌈
https://anne-oeldorf-hirsch.uconn.edu
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
Eliana Pastor @elianapastor.bsky.social Assistant Professor at PoliTo 🇮🇹 |
Former Visiting scholar at UCSC 🇺🇸 |
she/her | TrustworthyAI, XAI, Fairness in AI
https://elianap.github.io/
Maxime Peyrard @peyrardmax.bsky.social Junior Professor CNRS (previously EPFL, TU Darmstadt) -- AI Interpretability, causal machine learning, and NLP. Currently visiting @NYU
https://peyrardm.github.io
Julian Skirzynski @jskirzynski.bsky.social PhD student in Computer Science @UCSD. Studying interpretable AI and RL to improve people's decision-making.
Fiona K. Ewald @fionaewald.bsky.social PhD Student @ LMU Munich
Munich Center for Machine Learning (MCML)
Research in Interpretable ML / Explainable AI
Simon Schrodi @simonschrodi.bsky.social 🎓 PhD student @cvisionfreiburg.bsky.social @UniFreiburg
💡 interested in mechanistic interpretability, robustness, AutoML & ML for climate science
https://simonschrodi.github.io/
Gunnar König @gunnark.bsky.social PostDoc @ Uni Tübingen
explainable AI, causality
gunnarkoenig.com
Angie Boggust @angieboggust.bsky.social MIT PhD candidate in the VIS group working on interpretability and human-AI alignment
Maria Eckstein @mariaeckstein.bsky.social Research scientist at Google DeepMind.
Intersection of cognitive science and AI. Reinforcement learning, decision making, structure learning, abstraction, cognitive modeling, interpretability.
Andreas Madsen @andreasmadsen.bsky.social Ph.D. in NLP Interpretability from Mila. Previously: independent researcher, freelancer in ML, and Node.js core developer.
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- D David Bau @davidbau.bsky.social Interpretable Deep Networks. http://baulab.info/ @davidbau
Mor Geva @megamor2.bsky.social https://mega002.github.io
Nina Rimsky @ninarimsky.bsky.social AI Safety Research // Software Engineering
Dashiell @dashiells.bsky.social Machine learning haruspex
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!
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
Martina G. Vilas @martinagvilas.bsky.social AI Evaluation & Interpretability @NVIDIA
Pepa Atanasova @apepa.bsky.social Assistant Professor, University of Copenhagen; interpretability, xAI, factuality, accountability, xAI diagnostics https://apepa.github.io/
Lee Sharkey @leesharkey.bsky.social Scruting matrices @ Apollo Research
Arthur Conmy @arthurconmy.bsky.social Aspiring 10x reverse engineer at Google DeepMind
Eric Todd @ericwtodd.bsky.social CS PhD Student, Northeastern University - Machine Learning, Interpretability https://ericwtodd.github.io
Chris Wendler @wendlerc.bsky.social Postdoc at the interpretable deep learning lab at Northeastern University, deep learning, LLMs, mechanistic interpretability
vedang @vedanglad.bsky.social ai interpretability research and running • thinking about how models think • prev @MIT cs + physics
Jonathan Ling @jonling.bsky.social Assistant Professor @HopkinsMedicine @JHUPath
https://scholar.google.com/citations?user=dGBD72YAAAAJ
Cristina @cristinaml.bsky.social ML/AI researcher @JohnsHopkins
José Oramas @jaom7.bsky.social Associate Professor @UAntwerp, sqIRL/IDLab, imec.
#RepresentationLearning, #Model #Interpretability & #Explainability
A guy who plays with toy bricks, enjoys research and gaming.
Opinions are my own
idlab.uantwerpen.be/~joramasmogrovejo
Jannik Brinkmann @jannikbrinkmann.bsky.social 
Francesco Ortu @francescortu.bsky.social NLP & Interpretability | PhD Student @ University of Trieste & Laboratory of Data Engineering of Area Science Park | Prev MPI-IS
@michael-pearce.bsky.social @michael-pearce.bsky.social 
Dilyara Bareeva @dilya.bsky.social PhD Candidate in Interpretability @FraunhoferHHI | 📍Berlin, Germany
dilyabareeva.github.io
Alessandro Stolfo @alestolfo.bsky.social PhD @ ETHZ - LLM Interpretability
alestolfo.github.io