Juan Diego Rodriguez @juand-r.bsky.social CS PhD student at UT Austin in #NLP
Interested in language, reasoning, semantics and cognitive science. One day we'll have more efficient, interpretable and robust models!
Other interests: math, philosophy, cinema
https://www.juandiego-rodriguez.com/
Stephanie Hyland @hylandsl.bsky.social machine learning for health and biology at microsoft research, based in cambridge UK 🌻 🌱
Lucas Ventura @lucasventura.com PhD at Imagine (ENPC) and Willow (Inria) under the supervision of @gulvarol.bsky.social and Cordelia Schmid.
Telecommunication Engineer from UPC.
Tong Wei @weitong8591.bsky.social PhD student at Visual Recognition Group, Czech Technical University in Prague
weitong8591.github.io
Atlas Wang @atlaswang.bsky.social https://www.vita-group.space/ 👨🏫 UT Austin ML Professor (on leave)
https://www.xtxmarkets.com/ 🏦 XTX Markets Research Director (NYC AI Lab)
Superpower is trying everything 🪅
Newest focus: training next-generation super intelligence - Preview above 👶
@rogergrosse.bsky.social @rogergrosse.bsky.social 
Hilde Kuehne @hildekuehne.bsky.social Professor for CS at the Tuebingen AI Center and affiliated Professor at MIT-IBM Watson AI lab - Multimodal learning and video understanding - GC for ICCV 2025 - https://hildekuehne.github.io/
Giorgos Kordopatis-Zilos @gkordo.bsky.social Postdoct Researcher at Visual Recognition Group, CTU in Prague - gkordo.github.io/
Esther M. Whang @emw123.bsky.social BME PhD student @ Johns Hopkins
Co-advised by Adam S. Charles and Ji Yi
Computational Imaging/Neuroscience
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/
Jelle Zuidema 🟥 @wzuidema.bsky.social Associate Professor of Natural Language Processing & Explainable AI, University of Amsterdam, ILLC
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
Andreas Madsen @andreasmadsen.bsky.social Ph.D. in NLP Interpretability from Mila. Previously: independent researcher, freelancer in ML, and Node.js core developer.
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
Gunnar König @gunnark.bsky.social PostDoc @ Uni Tübingen
explainable AI, causality
gunnarkoenig.com
Christoph Molnar @christophmolnar.bsky.social Author of Interpretable Machine Learning and other books
Newsletter: https://mindfulmodeler.substack.com/
Website: https://christophmolnar.com/
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 🌌✨
Fiona K. Ewald @fionaewald.bsky.social PhD Student @ LMU Munich
Munich Center for Machine Learning (MCML)
Research in Interpretable ML / Explainable AI
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
Thiago Serra @thserra.bsky.social Assistant professor at University of Iowa, formerly at Bucknell University, mathematical optimizer with an #orms PhD from Carnegie Mellon University, curious about scaling up constraint learning, proud father of two
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...
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.- H Michael Tran @huytransformer1.bsky.social
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
Niklas Stoehr @niklasstoehr.bsky.social Gemini Post-Training ⚫️ Research Scientist at Google DeepMind ⚫️ PhD from ETH Zurich
Nina Rimsky @ninarimsky.bsky.social AI Safety Research // Software Engineering
Dashiell @dashiells.bsky.social Machine learning haruspex
Joe Stacey @joestacey.bsky.social NLP PhD student at Imperial College London and Apple AI/ML Scholar.
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/
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!
Lee Sharkey @leesharkey.bsky.social Scruting matrices @ Apollo Research
Kayo Yin @kayoyin.bsky.social PhD student at UC Berkeley. NLP for signed languages and LLM interpretability. kayoyin.github.io
🏂🎹🚵♀️🥋
Arthur Conmy @arthurconmy.bsky.social Aspiring 10x reverse engineer at Google DeepMind
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
Nishant Subramani @ ACL @nsubramani23.bsky.social PhD student @CMU LTI - working on model #interpretability, student researcher @google; prev predoc @ai2; intern @MSFT
nishantsubramani.github.io
Eric Todd @ericwtodd.bsky.social CS PhD Student, Northeastern University - Machine Learning, Interpretability https://ericwtodd.github.io
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
Jannik Brinkmann @jannikbrinkmann.bsky.social 
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.
Natalie Shapira @natalieshapira.bsky.social Tell me about challenges, the unbelievable, the human mind and artificial intelligence, thoughts, social life, family life, science and philosophy.
Carl Allen @carl-allen.bsky.social Laplace Junior Chair, Machine Learning
ENS Paris. (prev ETH Zurich, Edinburgh, Oxford..)
Working on mathematical foundations/probabilistic interpretability of ML (what NNs learn🤷♂️, disentanglement🤔, king-man+woman=queen?👌…)
Tiago Pimentel @tpimentel.bsky.social Postdoc at ETH. Formerly, PhD student at the University of Cambridge :)
@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
Thomas Fel @thomasfel.bsky.social Explainability, Computer Vision, Neuro-AI.🪴 Kempner Fellow @Harvard.
Prev. PhD @Brown, @Google, @GoPro. Crêpe lover.
📍 Boston | 🔗 thomasfel.me
Bart Bussmann @bartbussmann.bsky.social Independent Mechanistic Interpretability Researcher
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
David Atkinson @diatkinson.bsky.social PhD student at Northeastern, previously at EpochAI. Doing AI interpretability.
diatkinson.github.io
@kevdududu.bsky.social @kevdududu.bsky.social 
Vaidehi Patil @vaidehipatil.bsky.social Ph.D. Student at UNC NLP | Prev: Apple, Amazon, Adobe (Intern) vaidehi99.github.io | Undergrad @IITBombay
Neel Rajani @neelrajani.bsky.social PhD student in Responsible NLP at the University of Edinburgh, curious about interpretability and alignment
Koyena Pal @koyena.bsky.social CS Ph.D. Candidate @ Northeastern | Interpretability + Data Science | BS/MS @ Brown
koyenapal.github.io
@woog0.bsky.social @woog0.bsky.social 
@neelnanda.bsky.social @neelnanda.bsky.social 
Jasmijn Bastings @jasmijn.bastings.me Researcher, writer, photographer.
📸 bastings.art
📃 transponder.blog
🌐 jasmijn.bastings.me
📍 Amsterdam
Javier Ferrando @javifer.bsky.social Interpretability
Taufeeque @taufeeque.bsky.social Research Engineer @ FAR.AI
taufeeque9.github.io
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
Gonçalo Paulo @goncalo-paulo.bsky.social Interpretability researcher at @eleutherai.bsky.social
Alessio Devoto @alessiodevoto.bsky.social PhD in ML/AI | Researching Efficient ML/AI (vision & language) 🍀 & Interpretability | @SapienzaRoma @EdinburghNLP | https://alessiodevoto.github.io/ | ex @NVIDIA
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
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_
Mor Geva @megamor2.bsky.social https://mega002.github.io
Chris Olah @colah.bsky.social Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.
Gabriele Sarti @gsarti.com Open-source interpretability to seize the means of prediction. Postdoc @ Northeastern, @ndif-team.bsky.social w/ @davidbau.bsky.social.
gsarti.com
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
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- D David Bau @davidbau.bsky.social Interpretable Deep Networks. http://baulab.info/ @davidbau
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
Yung-Sung Chuang @yungsung.bsky.social PhD student #MIT_CSAIL | Intern #MetaAI #Microsoft #MITIBMLab | BS #NTU in #Taiwan
Yoav Goldberg @yoavgo.bsky.social 
Sara Hooker @sarahooker.bsky.social I lead Cohere For AI. Formerly Research
Google Brain. ML Efficiency, LLMs,
@trustworthy_ml.
Zachary Lipton @zacharylipton.bsky.social Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
Aaron Mueller @amuuueller.bsky.social Postdoc at Northeastern and incoming Asst. Prof. at Boston U. Working on NLP, interpretability, causality. Previously: JHU, Meta, AWS
Francesco Ortu @francescortu.bsky.social NLP & Interpretability | PhD Student @ University of Trieste & Laboratory of Data Engineering of Area Science Park | Prev MPI-IS
Isabelle Lee @wordscompute.bsky.social ml/nlp phding @ usc, currently visiting harvard;
training & interpretability & reasoning
iglee.me
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
Christina (Chrisy) Bornberg @variint.bsky.social Enjoy not enjoying ideals | Interpretability of modular convnets applied to 👁️ and 🛰️🐝 | she/her 🦒💕
variint.github.io
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/)
Roy @roymiles.bsky.social Research Scientist @Noah's Ark Lab, Huawei
PhD Imperial College London roymiles.github.io
Working on multi-modality and efficient ML