Can @canrager.bsky.social 
Fernanda Viégas @viegas.bsky.social Human/AI Interaction and data visualization. Professor at Harvard. Co-founder of Google's People+AI Research initiative (PAIR)
Zhenjun Zhao @ericzzj.bsky.social ericzzj1989.github.io
Postdoc@UniZar | PhD@CUHK | 3D vision, SLAM, Image matching (http://github.com/ericzzj1989/Awesome-Global-Solvers-for-3D-Vision)
Joaquin Vanschoren @joavanschoren.bsky.social Building AI systems that learn how to learn, grow and adapt continuously, and push humanity forward. Continual learning, meta-learning, open-endedness. Group Lead at TU Eindhoven, Founder of OpenML, NeurIPS D&B Track. 
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.
Yoshua Bengio @yoshuabengio.bsky.social Working towards the safe development of AI for the benefit of all at Université de Montréal, LawZero and Mila.
A.M. Turing Award Recipient and most-cited AI researcher.
https://lawzero.org/en
https://yoshuabengio.org/profile/
Hidenori Tanaka @hidenori8tanaka.bsky.social Group Leader, CBS-NTT "Physics of Intelligence" Program at Harvard
website: https://sites.google.com/view/htanaka/home
Core Francisco Parkg @corefpark.bsky.social https://cfpark00.github.io/
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
Alex Tong @alextong.bsky.social ML + Cells + Proteins. PI @ AITHYRA https://alextong.net
Joey Bose @joeybose.bsky.social Incoming Assistant Professor @Imperial College London. Post-doc @UniofOxford. Into Geometry ∩ Generative Models. @mila-quebec.bsky.social Affiliate member. Phd from @mila-quebec.bsky.social / McGill.
website: https://joeybose.github.io/
Lazar Atanackovic @lazaratan.bsky.social Incoming Assistant Prof, University of Alberta. Research Fellow at Amii. Currently, postdoc fellow the Broad Institute.
Larry Hunter @proflhunter.bsky.social Knowledge based biomedical data science, artificial intelligence for discovery in molecular biomedicine, computational bioethics, theory of mattering. University of Chicago / Big Island HI 
Nathan Lambert @natolambert.bsky.social A LLN - large language Nathan - (RL, RLHF, society, robotics), athlete, yogi, chef
Writes http://interconnects.ai
Prev Ai2/Olmo, HuggingFace, Berkeley, and normal places
@cloneofsimo.bsky.social @cloneofsimo.bsky.social 
Abhinav Menon @bani-3141.bsky.social Masters' Researcher in Interpretability at IIIT-H.
Ekdeep Singh @ ICML @ekdeepl.bsky.social Postdoc at CBS, Harvard University
(New around here)
Laura Kopf @lkopf.bsky.social PhD student in Interpretable Machine Learning at @tuberlin.bsky.social & @bifold.berlin
https://web.ml.tu-berlin.de/author/laura-kopf/
NDIF Team @ndif-team.bsky.social The National Deep Inference Fabric, an NSF-funded computational infrastructure to enable research on large-scale Artificial Intelligence.
🔗 NDIF: https://ndif.us
🧰 NNsight API: https://nnsight.net
😸 GitHub: https://github.com/ndif-team/nnsight
Sophie Hao @cinnamonlab.ai Assistant professor of Linguistics and Data Science at Boston University. NLP, computational linguistics, interpretability, social bias and fairness. she/her. https://www.notaphonologist.com/
Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU. Founding research scientist at Percepta.
https://emerge-lab.github.io
https://www.admonymous.co/eugenevinitsky
A. Feder Cooper @afedercooper.bsky.social ML prof @ Yale, mischief executive officer
https://attention-is-not-all-you-need.github.io
Microsoft Research @msftresearch.bsky.social We advance science and technology to benefit humanity.
http://microsoft.com/research
@piotrsankowski.bsky.social @piotrsankowski.bsky.social 
Kamil Deja @kdeja.bsky.social Postdoc at IDEAS NCBR and Warsaw University of Technology
Greg Durrett @gregdnlp.bsky.social CS professor at NYU. Large language models and NLP. he/him
Caden @cadentj.bsky.social 
@joshengels.bsky.social @joshengels.bsky.social PhD student at MIT.
Working on mechanistic interpretability and AI safety.
Yoann Poupart @xmaster6y.bsky.social XAI PhD Student & Entrepreneur
claudia shi @claudiashi.bsky.social machine learning, causal inference, science of llm, ai safety, phd student @bleilab, keen bean
https://www.claudiashi.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
Chris Paxton @cpaxton.bsky.social Writing about robots https://itcanthink.substack.com/
RoboPapers podcast https://robopapers.substack.com/
All opinions my own
Alexander Kolesnikov @handle.invalid 
uai2026 @auai.org Association for Uncertainty in AI.
Upcoming conference: #uai2026 August 17-21 in Amsterdam, Netherlands! 🇳🇱
https://auai.org/uai2026
Conference on Language Modeling @colmweb.org The 2025 Conference on Language Modeling will take place at the Palais des Congrès in Montreal, Canada from October 7-10, 2025
Website: colm.cc
**This account is updated intermittently / DMs are not monitored**
NeSy 2026 Conference @nesyconf.org 20th International conference on Neurosymbolic Learning and Reasoning
University of Lisbon, Lisbon, Portugal
1 to 4 September 2026
https://nesy-ai.org/
https://2026.nesyconf.org
ACL 2027 @aclmeeting.bsky.social The Association for Computational Linguistics (ACL) is a scientific and professional organization for people working on Natural Language Processing/Computational Linguistics.
Hash tags: #NLProc #ACL2027NLP
Ana Lučić @a-lucic.bsky.social Assistant professor at the University of Amsterdam. Previously at Microsoft Research, Partnership on AI. 
Gabriel Peyré @gabrielpeyre.bsky.social CNRS researcher at ENS
Julian Skirzynski @jskirzynski.bsky.social PhD student in Computer Science @UCSD. Studying interpretable AI and RL to improve people's decision-making.
Berk Ustun @berkustun.bsky.social Assistant Prof at UCSD. I work on safety, interpretability, and fairness in machine learning. www.berkustun.com
Hailey Joren @haileyjoren.bsky.social PhD Student @ UC San Diego
Researching reliable, interpretable, and human-aligned ML/AI
ExplainableML @eml-munich.bsky.social Institute for Explainable Machine Learning at @www.helmholtz-munich.de and Interpretable and Reliable Machine Learning group at Technical University of Munich and part of @munichcenterml.bsky.social
Explainable AI Researcher @zootime.bsky.social I work with explainability AI in a german research facility
Johannes Fürnkranz @juffi-jku.bsky.social Researcher Machine Learning & Data Mining, Prof. Computational Data Analytics @jkulinz.bsky.social, Austria.
Julius Adebayo @juliusad.bsky.social ML researcher, building interpretable models at Guide Labs (guidelabs.bsky.social). 
Elena Glassman @elglassman.bsky.social Assistant Professor @ Harvard SEAS specializing in human-computer and human-AI interaction. Also interested in visualization, digital humanities, urban design.
Chhavi Yadav @chhaviyadav.bsky.social Machine Learning Researcher | PhD Candidate @ucsd_cse | @trustworthy_ml
chhaviyadav.org
Lesia Semenova 🇺🇦 @lesiasemenova.bsky.social Assistant Professor @RutgersCS • Previously @MSFTResearch, @dukecompsci, @PinterestEng, @samsungresearch • Trustworthy AI • Interpretable ML • https://lesiasemenova.github.io/
Chandan Singh @csinva.bsky.social Seeking superhuman explanations.
Senior researcher at Microsoft Research, PhD from UC Berkeley, https://csinva.io/
Tim Miller @tmiller-uq.bsky.social Professor in Artificial Intelligence, The University of Queensland, Australia
Human-Centred AI, Decision support, Human-agent interaction, Explainable AI
https://uqtmiller.github.io
Umang Bhatt @umangsbhatt.bsky.social Assistant Professor @ University of Cambridge.
Responsible AI. Human-AI Collaboration. Interactive Evaluation.
umangsbhatt.github.io
Fiona K. Ewald @fionaewald.bsky.social PhD Student @ LMU Munich
Munich Center for Machine Learning (MCML)
Research in Interpretable ML / Explainable AI
Ryan Chan @ryanchankh.bsky.social Machine Learning PhD at UPenn. Interested in the theory and practice of interpretable machine learning. ML Intern@Apple.
Pedro Ribeiro @pedroribeiro.bsky.social Data Scientist @ Mass General, Beth Israel, Broad | Clinical Research | Automated Interpretable Machine Learning, Evolutionary Algorithms | UPenn MSE Bioengineering, Oberlin BA Computer Science
Daniel Lowd @dlowd.com CS Prof at the University of Oregon, studying adversarial machine learning, data poisoning, interpretable AI, probabilistic and relational models, and more. Avid unicyclist and occasional singer-songwriter. He/him
gully @gully.bsky.social interpretable machine learning for atmospheric and astronomical data analysis, near-IR spectra, climate tech, stars & planets; bikes, Austin, diving off bridges into the ocean.
Harmanpreet Kaur @harmankaur.bsky.social Assistant professor at University of Minnesota CS. Human-centered AI, interpretable ML, hybrid intelligence systems.
Zana Buçinca @zbucinca.bsky.social Assistant Professor at MIT; Human-AI Interaction, Worker-Centric AI
zbucinca.github.io
Krzysztof Gajos @kgajos.bsky.social Professor of computer science at Harvard. I focus on human-AI interaction, #HCI, and accessible computing.
@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
Michael Bernstein @mbernst.bsky.social CS Professor at Stanford
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
Upol Ehsan | hiring PhDs for Fall'27 @upolehsan.bsky.social 🎯 Making AI less evil= human-centered + explainable + responsible AI
💼 Harvard Berkman Klein Fellow | CS Prof. @Northeastern | Data & Society
🏢 Prev-Georgia Tech, {Google, IBM, Microsoft} Research
🔬 AI, HCI, Philosophy
☕ F1, memes
🌐 upolehsan.com
Jessica Hullman @jessicahullman.bsky.social Ginni Rometty Prof @NorthwesternCS | Fellow @NU_IPR | AI, people, uncertainty, beliefs, decisions, metascience | Blog @statmodeling
Hal Daumé III @haldaume3.bsky.social Human-centered AI #HCAI, NLP & ML. Director TRAILS (Trustworthy AI in Law & Society) and AIM (AI Interdisciplinary Institute at Maryland). Formerly Microsoft Research NYC. Fun: 🧗🧑🍳🧘⛷️🏕️. he/him.
sorelle @friedler.net CS prof at Haverford, Chair @acm.org U.S. tech policy, @brookings.edu nonres Senior Fellow, former White House OSTP tech policy, co-author AI Bill of Rights, research on AI and society, @facct.bsky.social co-founder
formerly @kdphd 🐦
sorelle.friedler.net
steph milani @stephmilani.bsky.social assistant prof / faculty fellow @ nyu courant, then assistant prof @ jhu cs
human-centered reinforcement learning & ai agents
🐦 twitter.com/steph_milani
🌐 stephmilani.github.io
Xiaoyan Bai @elenal3ai.bsky.social PhD @UChicagoCS / BE in CS @Umich / ✨AI/NLP transparency and interpretability/📷🎨photography painting
Michael Hind @michaelhind.bsky.social IBM Distinguished RSM, working on AI transparency, governance, explainability, and fairness. Proud husband & dad, Soccer lover. Posts are my own.
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.
Hendrik Strobelt @henstr.bsky.social Senior Research Scientist at IBM Research and Explainability lead at the MIT-IBM AI Lab in Cambridge, MA. Interested in all things (X)AI, NLP, Visualization. Hobbies: Social chair at #NeurIPS, MiniConf, Mementor-- http://hendrik.strobelt.com
Gabriel Lima @glima.bsky.social PhD Researcher at #MPI_SP | MS and BS at KAIST | AI ethics, HCI, justice, accountability, fairness, explainability | he/him
http://thegcamilo.github.io/
Arkadiy Saakyan @asaakyan.bsky.social PhD student at Columbia University working on human-AI collaboration, AI creativity and explainability. prev. intern @GoogleDeepMind, @AmazonScience
asaakyan.github.io
@hildeweerts.bsky.social @hildeweerts.bsky.social Assistant Professor at Eindhoven University of Technology | responsible AI, fairness, etc. | maintainer at fairlearn 👩💻
Adrian Valente @loradrian.bsky.social RE at Instadeep, PhD in computational neuroscience, MSc in CS, interested in ML for life sciences.
Harry Cheon @scheon.com "Seung Hyun" | MS CS & BS Applied Math @UCSD 🌊 | LPCUWC 18' 🇭🇰 | AI Evaluation, Safety, Alignment | 🇰🇷
harry.scheon.com
Martin Wattenberg @wattenberg.bsky.social Human/AI interaction. ML interpretability. Visualization as design, science, art. Professor at Harvard, and part-time at Google DeepMind.
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
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.
Vidhisha Balachandran @vidhishab.bsky.social AI Evaluation and Interpretability @MicrosoftResearch, Prev PhD @CMU.
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
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
Lucas Dixon @iislucas.bsky.social Machine learning, interpretability, visualization, Language Models, People+AI research
Fateme Hashemi Chaleshtori @fatemehc.bsky.social PhD student at Utah NLP, Mechanistic Interpretability, Trustworthy AI, Human-centered AI
Besmira Nushi @besmiranushi.bsky.social AI/ML, Responsible AI @Nvidia
Dylan Hadfield-Menell @dhadfieldmenell.bsky.social Assistant Prof of AI & Decision-Making @MIT EECS
I run the Algorithmic Alignment Group (https://algorithmicalignment.csail.mit.edu/) in CSAIL.
I work on value (mis)alignment in AI systems.
https://people.csail.mit.edu/dhm/
Gasper Begus @begus.bsky.social Assoc. Professor at UC Berkeley
Artificial and biological intelligence and language
Linguistics Lead at Project CETI 🐳
PI Berkeley Biological and Artificial Language Lab 🗣️
College Principal of Bowles Hall 🏰
https://www.gasperbegus.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
Connor Lawless @lawlessopt.bsky.social Stanford MS&E Postdoc | Human-Centered AI & OR
Prev: @CornellORIE @MSFTResearch, @IBMResearch, @uoftmie 🌈
Eleonora Giunchiglia @e-giunchiglia.bsky.social Assistant Professor at Imperial College London | EEE Department and I-X.
Neuro-symbolic AI, Safe AI, Generative Models
Previously: Post-doc at TU Wien, DPhil at the University of Oxford.
Rosa Zhou @qiaoyu-rosa.bsky.social Senior applied scientist @Microsoft | PhD from @UChicagoCS | Build LLM copilot for group communications.
Sébastien Destercke @sebastiendestercke.bsky.social CS researcher in uncertainty reasoning (wherever it appears: risk analysis, AI, philosophy, ...), mostly mixing sets and probabilities. Posts mostly on this topic (french and english), and a bit about others. Personal account and opinions.
Thomas George @tfjgeorge.bsky.social Explainability of deep neural nets and causality https://tfjgeorge.github.io/
Álvaro Parafita @aparafita.bsky.social Senior Researcher at Barcelona Supercomputing Center | PhD in Causal Estimation with estimand-agnostic frameworks, working on Machine Learning Explainability
Github: @aparafita
Noah Legall, Ph. D. @noahlegall.bsky.social AppSci @ Dotmatics | Microbial Bioinformatics | Deep Learning & Explainability | Nextflow Ambassador | Author of 'The Microbialist' Substack | Thoughts are my own personal opinions and do not represent a third party
Lucie Charlotte Magister @charlottemagister.bsky.social PhD student @ University of Cambridge, focusing on Explainability and Interpretability for GNNs
Amir Rahnama @amirrahnama.bsky.social PhD Student at KTH Royal Institute of Technology.
Researching Explainability and Interpretability in Machine Learning
@nperello.bsky.social @nperello.bsky.social CS PhD Candidate at UMass Amherst
ML Fairness and Explainability
https://nperello.github.io