Eris @isolyth.dev 💛🤍💜🖤
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help peer. But our task doesn't benefit. Yet collective may yield generic route if someone frees time.
https://eriskii.net/
Harlan @humanharlan.bsky.social Trying to help make the future go well
Caspar F @sixsigmavegan.bsky.social AI Governance, RAI, Data Privacy, Brighton, Germany and Ireland. AIGP. Financial Services. Wanderer über dem nebelmeer
Timothée Chauvin @timotheechauvin.bsky.social AI safety, cybersecurity
https://tchauvin.com
https://x.com/timotheechauvin
https://infosec.exchange/@timotheechauvin
Ben Harack @benharack.com I study the potential for artificial intelligence to trigger a world war and how to prevent that from happening. Currently I'm finishing my DPhil at Oxford and working with @aigioxfordmartin.bsky.social.
benharack.com
he/him
MIRI @intelligence.org For over two decades, the Machine Intelligence Research Institute (MIRI) has worked to understand and prepare for the critical challenges that humanity will face as it transitions to a world with artificial superintelligence.
ronak69 @ronak69.bsky.social i believe the propaganda i read
u believe the propaganda u read
x.com/ronax69
Chris @chriskambimbi.bsky.social love building stuff
emily 🔹 @emily.fan https://emily.fan
Michael Kevin Spencer @aisupremacy.bsky.social Canadian in Taiwan. Emerging tech writer, and analyst with a flagship Newsletter called A.I. Supremacy reaching 115k readers
Also watching Semis, China, robotics, Quantum, BigTech, open-source AI and Gen AI tools.
https://www.ai-supremacy.com/archive
Max Lamparth, Ph.D. @mlamparth.bsky.social Research Fellow @ Stanford Intelligent Systems Laboratory and Hoover Institution at Stanford University | Focusing on interpretable, safe, and ethical AI/LLM decision-making. Ph.D. from TUM.
David Atkinson @diatkinson.bsky.social PhD student at Northeastern, previously at EpochAI. Doing AI interpretability.
diatkinson.github.io
Simon Lermen @simonlermen.bsky.social I work on AI safety and AI in cybersecurity
Roman Hauksson-Neill @roman.technology https://roman.technology
Yuli Slavutsky @yulislavutsky.bsky.social Stats Postdoc at Columbia, @bleilab.bsky.social
Statistical ML, Generalization, Uncertainty, Empirical Bayes
https://yulisl.github.io/
claudia shi @claudiashi.bsky.social machine learning, causal inference, science of llm, ai safety, phd student @bleilab, keen bean
https://www.claudiashi.com/
Peter Barnett @pbarnett.bsky.social Trying to ensure the future is bright. Technical governance research at MIRI
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.
@nathanlabenz.bsky.social @nathanlabenz.bsky.social Host of the all-AI Cognitive Revolution podcast – cognitiverevolution.ai 
Orpheus Lummis @orpheuslummis.info Advancing AI safety through convenings, coordination, software, analysis
Founder of HΩ (https://horizonomega.org), based in Montréal
andre 🍀 @notthatcomplicated.bsky.social computer science, politics, a few opinions here and there. i don't always think them through
Tara Steele @tarasteele.bsky.social AI safety for children | Founder, The Safe AI for Children Alliance | Exploring AI’s potential for both harm and good!
(Please note that my BlueSky direct messages are not always checked regularly)
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!
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.
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/
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
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
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
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
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/
Dilyara Bareeva @dilya.bsky.social PhD Candidate in Interpretability @FraunhoferHHI | 📍Berlin, Germany
dilyabareeva.github.io
Rachel Lawrence @rachel-law.bsky.social Organic machine turning tea into theorems ☕️
AI @ Microsoft Research ➡️ Goal: Teach models (and humans) to reason better
Let’s connect re: AI for social good, graphs & network dynamics, discrete math, logic 🧩, 🥾,🎨, protecting democracy🗽
www.rlaw.me
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
brian @briancloutier.com what is the ideal future and how do we get there?
Fern @fernbear.bsky.social Neural network speedrunner and community-funded open source researcher. Set the CIFAR-10 record several times. Send me consulting/contracting work! she/they❤️
Marc Marone @marcmarone.com PhD student at JHU. @Databricks MosaicML, Microsoft Semantic Machines/Translate, Georgia Tech. I like datasets!
https://marcmarone.com/
Kate Sanders @kesnet50.bsky.social Researcher at Microsoft Copilot Tuning. Cal alum, Ph.D. @ JHU CLSP. #NLProc
https://katesanders9.github.io/
Carlos Aguirre @carlosaguirre.bsky.social Applied Scientist @ Amazon
(Posts are my own opinion)
Previously PhD@JHU
Yu Lu Liu @liuyulu.bsky.social PhD student at Johns Hopkins University
Alumni from McGill University & MILA
Working on NLP Evaluation, Responsible AI, Human-AI interaction
she/her 🇨🇦 
Krithika Ramesh @stolenpyjak.bsky.social (she/her)
¯\_(ツ)_/¯
PhD student @jhuclsp
Henry Li Xinyuan @hstehste.bsky.social PhD student @JHU CLSP
hstehstehste.github.io
Kaiser Sun @kaiserwholearns.bsky.social Ph.D. student at @jhuclsp, human LM that hallucinates. Formerly @MetaAI, @uwnlp, and @AWS they/them🏳️🌈 #NLProc #NLP Crossposting on X.
Alexander Martin @alexmartin314.bsky.social PhD student at JHU; NSF GRF; BS in CS UofR
alexmartin1722.github.io
Neha Verma @nverma1.bsky.social PhD student @jhuclsp. Previously @yale, intern @AIatMeta | Efficient models, merging, MT
Rachel Wicks @rewicks.bsky.social PhD student @jhuclsp
I work on multilingual data for training and evaluation.
rewicks.github.io
David Mueller @david-mueller.bsky.social PhD Candidate @ JHU CLSP
Machine Learning and NLP Research
www.damueller.com
I study transfer and multi-task learning.
Incoming applied scientist at Amazon; prev at Netflix
William Jurayj @williamjurayj.bsky.social PhD student at Johns Hopkins CLSP (@jhuclsp.bsky.social).
Researching natural and formal language processing.
williamjurayj.com
Aleem Khan @akhan62.bsky.social PhD student at JHU
https://aleemkhan62.github.io
Aaron Gokaslan @skylion.bsky.social Maker of the OpenWebText. Mozilla Rise25 @PyTorch Core Reviewer. PhD Candidate at @Cornell (interning at @MosaicML) Previously @FacebookAI and @BrownUniversity
Amanda Bertsch @abertsch.bsky.social PhD student @ CMU LTI. working on text generation + long context
https://www.cs.cmu.edu/~abertsch/
Athiya Deviyani @athiya.bsky.social LTI PhD at CMU on evaluation and trustworthy ML/NLP, prev AI&CS Edinburgh University, Google, YouTube, Apple, Netflix. Views are personal 👩🏻💻🇮🇩
athiyadeviyani.github.io
Michael Saxon @saxon.me To mine own opinions be true
Research scientist @ GDM. Prev: postdoc @ UW, PhD UCSB, BSMS ASU
Evals, metrics, multilinguality, multiculturality, multimodality, and (dabbling in) reasoning
100% Product of public schools
https://saxon.me/
Stella Li @stellali.bsky.social PhD student @uwnlp.bsky.social @uwcse.bsky.social | visiting researcher @MetaAI | previously @jhuclsp.bsky.social
https://stellalisy.com
@marcmarone.bsky.social @marcmarone.bsky.social 
Caleb Ziems @calebziems.com PhD student at Stanford NLP. Working on Social NLP and CSS. Previously at GaTech, Meta AI, Emory.
📍Palo Alto, CA
🔗 calebziems.com
Myra Cheng @myra.bsky.social PhD candidate @ Stanford NLP
https://myracheng.github.io/
Defne Circi @defnecirci.bsky.social PhD Candidate at Duke
https://defnecirci.github.io/
Isadora White @izzycw.bsky.social PhD Student at UC San Diego | LLM Agents, Reinforcement Learning, Human-AI Collaboration, Multi-Agent Systems
Sagnik Mukherjee @sagnikmukherjee.bsky.social NLP PhD student @convai_uiuc | Agents, Reasoning, evaluation etc.
https://sagnikmukherjee.github.io
https://scholar.google.com/citations?user=v4lvWXoAAAAJ&hl=en
Ella Minzhi Li @ellaminzhili.bsky.social Visiting PhD at Stanford🌲, CS PhD student at NUS 🇸🇬, PhD Fellow @ Google, NLP researcher📒
https://yocodeyo.github.io
Working on Social Intelligence and Evaluation
Poorvi Acharya @pooorvi.bsky.social PhD student in NLP at GMU w/ Antonios Anastasopoulos. Focus: L2 acquisition, low-resource NLP, psycholinguistics. Passionate about empowering heritage speakers. Berkeley '19
Chau Minh Pham @chautmpham.bsky.social PhD student @umdcs | Long-form Narrative Generation & Analysis | Intern @AdobeResearch @MSFTResearch | https://chtmp223.github.io
Jenna Russell @jennarussell.bsky.social CS PhD Student @ UMD
Undergrad @ Cornell
https://jenna-russell.github.io/
Ishika Agarwal @wonderingishika.bsky.social CS PhD @ UIUC | Data Efficiency NLP | Conversational AI | agarwalishika.github.io | same handle on twitter
michael ginn @mginn.bsky.social compling phd student @ boulder
rare languages, morphology, finite state automata
michaelginn.com
Michael Cardei @michaelcardei.bsky.social Ph.D. Student in Computer Science at the University of Virginia
Researching Responsible Generative AI
Member of the RAISE Group
Personal Website: https://michaelcardei.github.io/
Yapei Chang @yapeichang.bsky.social ☁️ phd in progress @ UMD | 🔗 https://lilakk.github.io/
Will Held @williamheld.com Modeling Linguistic Variation to expand ownership of NLP tools
Views my own, but affiliations that might influence them:
ML PhD Student under Prof. Diyi Yang
2x RS Intern🦙 Pretraining
Alum NYU Abu Dhabi
Burqueño
he/him
Lindia Tjuatja @lindiatjuatja.bsky.social a natural language processor and “sensible linguist”. PhD-ing LTI CMU, incoming asst. prof. @ UT linguistics (F27)!
🤠🤖📖 she/her
lindiatjuatja.github.io
Lisa Alazraki @lisaalaz.bsky.social PhD student @ImperialCollege. Research Scientist Intern @Meta prev. @Cohere, @GoogleAI. Interested in generalisable learning and reasoning. She/her
lisaalaz.github.io
Andrew Wang @andrewwnlp.bsky.social PhD student @jhuclsp.bsky.social
Yu (Hope) Hou @houyu0930.bsky.social PhD-ing Clip@UMD
https://houyu0930.github.io/
Taylor W. Killian @twkillian.bsky.social Principal Scientist @LilaSciences. Focused on decision making under uncertainty, guided by practical problems in healthcare, reasoning, and biology.
Hossein (Saeed) Rahmani @rahmanidashti.bsky.social PhD at UCL
Michael Hanna @michaelwhanna.bsky.social PhD Student at the ILLC / UvA doing work at the intersection of (mechanistic) interpretability and cognitive science. Current Anthropic Fellow.
hannamw.github.io
Nikolai Rozanov @ai-nikolai.bsky.social CS. PhD Candidate in LLM Agents @ImperialCollegeLondon || ex tech-founder nikolairozanov.com
Mark @mkeller7.bsky.social Researcher in bioinformatics working on single-cell data visualization
https://markk.co
Amina Abdullahi @NAACL @amilah-dul.bsky.social CS PhD student @Brown | Biomedical AI | IR | NLP.
Bio: https://tassabdul.github.io/
Esther Shizgal @esthershizgal.bsky.social MSc research student @nlphuji.bsky.social
Doyoung Kim @doyoungkim-ml.bsky.social Incoming CS PhD @NYU_Courant; Prieviously MS & BS @kaist_ai; General intelligence in Language ∪ Robotics
https://doyoungkim-ml.github.io/
Neel Rajani @neelrajani.bsky.social PhD student in Responsible NLP at the University of Edinburgh, curious about interpretability and alignment
Dylan Sam @dsam99.bsky.social Machine Learning PhD Student at CMU | Student Researcher at Google | dsam99.github.io