Francois Meyer
PhD student at the University of Cape Town, working on text generation for low-resource, morphologically complex languages.
https://francois-meyer.github.io/
Cape Town, South Africa
@paper-feed.bsky.social
Building personalized Bluesky feeds for academics! Pin Paper Skygest, which serves posts about papers from accounts you're following: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest. By @sjgreenwood.bsky.social and @nkgarg.bsky.social
@gronlp.bsky.social
Natural Language Processing and Computational Linguistics group at the University of Groningen 🐮 https://www.rug.nl/research/clcg/research/cl/
@arianna-bis.bsky.social
Associate Prof at GroNLP (@unigroningen.bsky.social) #NLP | Multilingualism | Interpretability | Language Learning in Humans vs NeuralNets | Mum^2
@christophmolnar.bsky.social
Author of Interpretable Machine Learning and other books Newsletter: https://mindfulmodeler.substack.com/ Website: https://christophmolnar.com/
@variint.bsky.social
Lost in translation | Interpretability of modular convnets applied to 👁️ and 🛰️🐝 | she/her 🦒💕 variint.github.io
@jbarbosa.org
Junior PI @ INM (Paris) in computational neuroscience, interested in how computations enabling cognition are distributed across brain areas. Expect neuroscience and ML content. jbarbosa.org
@kylem.bsky.social
Full of childlike wonder. Building friendly robots. UT Austin PhD student, MIT ‘20.
@sejdino.bsky.social
Professor of Statistical Machine Learning at the University of Adelaide. https://sejdino.github.io/
@thomasfel.bsky.social
Explainability, Computer Vision, Neuro-AI.🪴 Kempner Fellow @Harvard. Prev. PhD @Brown, @Google, @GoPro. Crêpe lover. 📍 Boston | 🔗 thomasfel.me
@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-nlp.bsky.social
Research in LM explainability & interpretability since 2017. sarahwie.github.io Postdoc @ai2.bsky.social & @uwnlp.bsky.social PhD from Georgia Tech Views my own, not my employer's.
@mdhk.net
Linguist in AI & CogSci 🧠👩💻🤖 PhD student @ ILLC, University of Amsterdam 🌐 https://mdhk.net/ 🐘 https://scholar.social/@mdhk 🐦 https://twitter.com/mariannedhk
@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
@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
@elianapastor.bsky.social
Assistant Professor at PoliTo 🇮🇹 | Currently visiting scholar at UCSC 🇺🇸 | she/her | TrustworthyAI, XAI, Fairness in AI https://elianap.github.io/
@dilya.bsky.social
PhD Candidate in Interpretability @FraunhoferHHI | 📍Berlin, Germany dilyabareeva.github.io
@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 🧩, 🥾,🎨 Organizing for democracy.🗽 www.rlaw.me
@jskirzynski.bsky.social
PhD student in Computer Science @UCSD. Studying interpretable AI and RL to improve people's decision-making.
@fionaewald.bsky.social
PhD Student @ LMU Munich Munich Center for Machine Learning (MCML) Research in Interpretable ML / Explainable AI
@simonschrodi.bsky.social
🎓 PhD student @cvisionfreiburg.bsky.social @UniFreiburg 💡 interested in mechanistic interpretability, robustness, AutoML & ML for climate science https://simonschrodi.github.io/
@angieboggust.bsky.social
MIT PhD candidate in the VIS group working on interpretability and human-AI alignment
@mariaeckstein.bsky.social
Research scientist at Google DeepMind. Intersection of cognitive science and AI. Reinforcement learning, decision making, structure learning, abstraction, cognitive modeling, interpretability.
@andreasmadsen.bsky.social
Ph.D. in NLP Interpretability from Mila. Previously: independent researcher, freelancer in ML, and Node.js core developer.
@mlamparth.bsky.social
Postdoc at @Stanford, @StanfordCISAC, Stanford Center for AI Safety, and the SERI program | Focusing on interpretable, safe, and ethical AI decision-making.
@ankareuel.bsky.social
Computer Science PhD Student @ Stanford | Geopolitics & Technology Fellow @ Harvard Kennedy School/Belfer | Vice Chair EU AI Code of Practice | Views are my own
@csinva.bsky.social
Senior researcher at Microsoft Research. Seeking good explanations with machine learning https://csinva.io/
@norabelrose.bsky.social
AI, philosophy, spirituality Head of interpretability research at EleutherAI, but posts are my own views, not Eleuther’s.
@claudiashi.bsky.social
machine learning, causal inference, science of llm, ai safety, phd student @bleilab, keen bean https://www.claudiashi.com/
@katharinaprasse.bsky.social
PhD in Computer Vision Supervised and Inspired by Prof. Dr.-Ing Margret Keuper Member of the Data & Web Science Group @ University of Mannheim.
@juliagrabinski.bsky.social
PhD Student in Computer Vision 💫 seeking Postdoc Opportunities 💫
@sukrutrao.bsky.social
PhD Student at the Max Planck Institute for Informatics @cvml.mpi-inf.mpg.de @maxplanck.de | Explainable AI, Computer Vision, Neuroexplicit Models Web: sukrutrao.github.io
@timvanerven.nl
Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of interpretable AI. www.timvanerven.nl Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
@gattanasio.cc
Postdoc at @sardine-lab-it.bsky.social working on fair and safe language technologies. | gattanasio.cc | he/him | http://questovirgolettatoesiste.com
@yuzhaouoe.bsky.social
https://yuzhaouoe.github.io/ | PhD Student @ University of Edinburgh | Opening the Black Box for Efficient Training/Inference
@loreslm.bsky.social
@chriswtanner.bsky.social
Head of R&D @Kensho and lecturer at @MIT, teaching NLP and ML. Enjoys challenging #hikes ⛰ and #woodworking 🌲 Prev: @Harvard, @BrownCSDept, @MITLL
@nlpurr.bsky.social
SciComm of Academic NLP Papers | Research Scientist | Explainability, Prompting, Benchmarking, Metrics, Red-Teaming & Eval of LLMs https://nlpurr.github.io/
@melaniemitchell.bsky.social
Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems. Website: https://melaniemitchell.me Substack: https://aiguide.substack.com/
@asayeed.bsky.social
Thought leader, whose main act of thought leadership is to declare myself thought leader. Computational psycholinguist at the University of Gothenburg.
@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 #ACL2025NLP
@aaclmeeting.bsky.social
The Asia-Pacific Chapter of the Association for Computational Linguistics The 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL 2025) https://www.afnlp.org/conferences/ijcnlp2025 #AACL2025 #NLProc #NLP
@naaclmeeting.bsky.social
Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics
@emnlpmeeting.bsky.social
EMNLP 2025 - The annual Conference on Empirical Methods in Natural Language Processing Dates: November 5-9, 2025 in Suzhou, China Hashtags: #EMNLP2025 #NLP Submission Deadline: May 19th, 2025
@hitz-zentroa.bsky.social
Basque Center for Language Technology, a reference center whose aim is to promote research, training, technological transfer and innovation in #NLP #NLProc and #speech. http://www.hitz.eus/