Explainable AI @xai-research.bsky.social Explainable/Interpretable AI researchers and enthusiasts - DM to join the XAI Slack! Blue Sky and Slack maintained by Nick Kroeger
Giuseppe Casalicchio @giuseppe88.bsky.social Senior Lecturer and Researcher @LMU_Muenchen working on #ExplainableAI / #interpretableML and #OpenML
Andrew Lampinen @lampinen.bsky.social Interested in cognition and artificial intelligence. Researcher at Anthropic; previously DeepMind, cognitive science at Stanford. Posts are mine.
lampinen.github.io
Kyle Mahowald @kmahowald.bsky.social UT Austin linguist http://mahowak.github.io/. computational linguistics, cognition, psycholinguistics, NLP, crosswords. occasionally hockey?
Jessy Li @jessyjli.bsky.social https://jessyli.com Associate Professor, UT Austin Linguistics.
Part of UT Computational Linguistics https://sites.utexas.edu/compling/ and UT NLP https://www.nlp.utexas.edu/
Shivam Raval @sraval.bsky.social Physics, Visualization and AI PhD @ Harvard | Embedding visualization and LLM interpretability | Love pretty visuals, math, physics and pets | Currently into manifolds
Wanna meet and chat? Book a meeting here: https://zcal.co/shivam-raval
Peter Hase @peterbhase.bsky.social Visiting Scientist at Schmidt Sciences. Visiting Researcher at Stanford NLP Group
Interested in AI safety and interpretability
Previously: Anthropic, AI2, Google, Meta, UNC Chapel Hill
Sherry Tongshuang Wu @sherrytswu.bsky.social Assist. Prof at CMU, CS PhD at UW. HCI+AI, map general-purpose models to specific use cases!
@jamesaoldfield.bsky.social @jamesaoldfield.bsky.social Visiting scholar @ UW-Madison & PhD student in machine learning @ QMUL. Interested in interpretability and AI safety.
https://james-oldfield.github.io/
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...
Ryan Chan @ryanchankh.bsky.social Machine Learning PhD at UPenn. Interested in the theory and practice of interpretable machine learning. ML Intern@Apple.
Furong Huang @furongh.bsky.social Associate professor of @umdcs @umiacs @ml_umd at UMD. Researcher in #AI/#ML, AI #Alignment, #RLHF, #Trustworthy ML, #EthicalAI, AI #Democratization, AI for ALL.
@eleutherai.bsky.social @eleutherai.bsky.social 
Ahmad Beirami @abeirami.bsky.social stealth // Gemini RL+inference @ Google DeepMind // Conversational AI @ Meta // RL Agents @ EA // ML+Information Theory @ MIT+Harvard+Duke // Georgia Tech PhD
📍{NYC, SFO, YYZ}
🔗 https://beirami.github.io/
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.
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
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, 🐎 🎶
steven t. piantadosi @spiantado.bsky.social computational cognitive science he/him
UC Berkeley
ScienceHomecoming
http://colala.berkeley.edu/people/piantadosi/
Maxim Raginsky @mraginsky.bsky.social web: http://maxim.ece.illinois.edu
substack: https://realizable.substack.com
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
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
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
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.
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
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
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
Pasquale Minervini @neuralnoise.com Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they
Jack Hessel @jmhessel.bsky.social jmhessel.com
Seattle bike lane enjoyer. Opinions my own.
Anand Sarwate (he/him) @ergodicwalk.bsky.social Randomly transitioning between information theory, ML, privacy, statistics, and other destinations. Not using \mathbb in a logo.
Sebastian Sanokowski @sanokows.bsky.social Ellis PhD Student at JKU Linz working on Diffusion Samplers and combinatorial optimization
Federico Adolfi @fedeadolfi.bsky.social Computation & Complexity | AI Interpretability | Meta-theory | Computational Cognitive Science
Max Planck Institute ESI.
Dept. of Computer Science & Mathematics,
Goethe University Frankfurt.
https://fedeadolfi.github.io
On the job market!
Roma Patel @romapatel.bsky.social research scientist @deepmind. language & multi-agent rl & interpretability. phd @BrownUniversity '22 under ellie pavlick (she/her)
https://roma-patel.github.io
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
Miryam de Lhoneux @mdlhx.bsky.social NLP assistant prof at KU Leuven, PI @lagom-nlp.bsky.social. I like syntax more than most people. Also multilingual NLP, interpretability, mountains and beer. (She/her)
Stephanie Brandl @stephaniebrandl.bsky.social Assistant Professor in NLP (Fairness, Interpretability and lately interested in Political Science) at the University of Copenhagen ✨
Before: PostDoc in NLP at Uni of CPH, PhD student in ML at TU Berlin
Martina G. Vilas @martinagvilas.bsky.social AI Evaluation & Interpretability @NVIDIA
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
Kyle Morgenstein @kylem.bsky.social Full of childlike wonder. Building friendly robots. UT Austin PhD student, MIT ‘20.
Bharath Radhakrishnan @bharathr98.com 
Anna Rogers @annarogers.bsky.social Associate professor at IT University of Copenhagen: NLP, language models, interpretability, AI & society. Co-editor-in-chief of ACL Rolling Review. #NLProc #NLP
Jenny Kunz @jeku.bsky.social Postdoc at Linköping University🇸🇪. Doing NLP, particularly explainability, language adaptation, modular LLMs. I‘m also into🌋🏕️🚴.
Mark Riedl @markriedl.bsky.social AI for storytelling, games, explainability, safety, ethics. Professor at Georgia Tech. Director of ML Center at GT. Time travel expert. Geek. Dad. he/him
Dino Sejdinovic @sejdino.bsky.social Professor of Statistical Machine Learning at the University of Adelaide.
https://sejdino.github.io/
Thomas Fel @thomasfel.bsky.social Explainability, Computer Vision, Neuro-AI.🪴 Kempner Fellow @Harvard.
Prev. PhD @Brown, @Google, @GoPro. Crêpe lover.
📍 Boston | 🔗 thomasfel.me
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.
Pepa Atanasova @apepa.bsky.social Assistant Professor, University of Copenhagen; interpretability, xAI, factuality, accountability, xAI diagnostics https://apepa.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
Mor Geva @megamor2.bsky.social https://mega002.github.io
Isabelle Lee @wordscompute.bsky.social ml/nlp phding @ usc, currently visiting harvard;
training & interpretability & reasoning
iglee.me
Lee Sharkey @leesharkey.bsky.social Scruting matrices @ Apollo Research
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!
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
Abhilasha Ravichander @lasha.bsky.social Tenure-track faculty at the Max Planck Institute for Software Systems
Previously postdoc at UW and AI2, working on Natural Language Processing
Recruiting PhD students!
🌐 https://lasharavichander.github.io/
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
Julian Minder @jkminder.bsky.social PhD at EPFL with Robert West, Master at ETHZ
Mainly interested in Language Model Interpretability and Model Diffing.
MATS 7.0 Winter 2025 Scholar w/ Neel Nanda
jkminder.ch
Oskar van der Wal @ovdw.bsky.social Technology specialist at the EU AI Office / AI Safety / Prev: University of Amsterdam, EleutherAI, BigScience
Thoughts & opinions are my own and do not necessarily represent my employer.
Christoph Molnar @christophmolnar.bsky.social Author of Interpretable Machine Learning and other books
Newsletter: https://mindfulmodeler.substack.com/
Website: https://christophmolnar.com/
Stella Biderman @stellaathena.bsky.social I make sure that OpenAI et al. aren't the only people who are able to study large scale AI systems.
Aryaman Arora @aryaman.io member of technical staff @stanfordnlp.bsky.social
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
Shan Chen @shan23chen.bsky.social PhDing @Harvard @MassGenBrigham｜PhD Fellow @Google | Previously @Bos_CHIP @BrandeisU
More robustness and explainabilities 🧐 for Health AI.
shanchen.dev
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
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/
Sam Bowman @sleepinyourhat.bsky.social AI safety at Anthropic, on leave from a faculty job at NYU.
Views not employers'.
I think you should join Giving What We Can.
cims.nyu.edu/~sbowman
Yoav Artzi @yoavartzi.com LM/NLP/ML researcher ¯\_(ツ)_/¯
yoavartzi.com / associate professor @ Cornell CS + Cornell Tech campus @ NYC / nlp.cornell.edu / visiting researcher @ Google DeepMind / building @colmweb.org / previously associate faculty director @ arXiv.org
Sasha Rush @srushnlp.bsky.social Professor, Programmer in NYC.
Cornell, Hugging Face 🤗
Maria Antoniak @mariaa.bsky.social NLP, cultural analytics. Assistant Professor of CS at University of Colorado Boulder. Formerly Ai2, Pioneer Centre for AI, Cornell, Microsoft, Twitter. Books, bikes, games, art. https://maria-antoniak.github.io
@chenhaotan.bsky.social @chenhaotan.bsky.social Associate professor at the University of Chicago. Working on human-centered AI, NLP, CSS. https://chenhaot.com, https://substack.com/@cichicago
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
Ana Marasović @anamarasovic.bsky.social Asst prof @ University of Utah · NLP · she/her 🇭🇷
Bluesky @bsky.app official Bluesky account (check username👆)
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