Alzbeta Manova @alzbetam.bsky.social 🎓 PhD student @ University of Aberdeen | 📈 Math + 🧠 Psych + 🤖 ML.
🐕 Dog parent | 🧩 Puzzle solver
🏴🇨🇿🏳️🌈
Davanum Srinivas (@dims) @dims.dev
#OpenSource Person, Principal Engineer for Nvidia. He/Him.
@ryanhammonds.bsky.social @ryanhammonds.bsky.social
Shreyas Kadekodi @shresearchucsd.bsky.social CSE phd student @ UC San Diego
Maria De-Arteaga @mariadearteaga.bsky.social Associate Professor, ESADE | PhD, Machine Learning & Public Policy, Carnegie Mellon | Previously FAccT EC | Algorithmic fairness, human-AI collab | 🇨🇴 💚 she/her/ella.
Andre Ye @andreiskiii.bsky.social Incoming PhD @ MIT EECS. ugrad philosophy & CS @ UWa
Finola Finn @finolafinn.bsky.social Historian of early modern health, religion, & emotions | Critical AI studies & historiography
Postdoc at C²DH, University of Luxembourg
Inga Ibs @ingaibs.bsky.social PhD candidate - Centre for Cognitive Science at TU Darmstadt,
explanations for AI, sequential decision-making, problem solving
Wanling Cai @wanlingcai.bsky.social Postdoctoral Researcher in Human-Computer Interaction @ Trinity College Dublin | Research Interest: HCI, Digital Health, Human-Centered AI/Computing
Sunnie S. Y. Kim ☀️ @sunniesuhyoung.bsky.social Senior Researcher at Microsoft Research 👩🏻💻
Responsible AI, Human-AI Interaction, AI Evaluation ✨️
Prev: Apple, Princeton CS PhD, Yale S&DS BSc
https://sunniesuhyoung.github.io/
Besmira Nushi @besmiranushi.bsky.social AI/ML, Responsible AI @Nvidia
Angus Nicolson @angusjnic.bsky.social PostDoc at the Medical University of Innsbruck in the Digital Cardiology Lab. Prev Uni of Oxford DPhil.
Donatella Genovese @donatellag.bsky.social PhD Student | Works on Explainable AI | prev. visit at LEAP Lab
ETH Zurich | https://donatellagenovese.github.io/
Jan Dubiński @jandubinski.bsky.social PhD student in Machine Learning @Warsaw University of Technology and @IDEAS NCBR
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
Sukrut Rao @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
Marzena Karpinska @markar.bsky.social #nlp researcher interested in evaluation including: multilingual models, long-form input/output, processing/generation of creative texts
previous: postdoc @ umass_nlp
phd from utokyo
https://marzenakrp.github.io/
Simone Schaub-Meyer @simoneschaub.bsky.social Assistant Professor of Computer Science at TU Darmstadt, Member of @ellis.eu, DFG #EmmyNoether Fellow, PhD @ETH
Computer Vision & Deep Learning
jake hofman @jakehofman.bsky.social senior principal researcher at msr nyc, adjunct professor at columbia
Ferhat Erata @erata.bsky.social PhD student @Yale • Applied Scientist @AWS AI • Automated Reasoning • Neuro-Symbolic AI • Alignment • Security & Privacy • Views my own • https://ferhat.ai
Marlene Berke @marleneberke.bsky.social Postdoc @ MIT Brain & Cognitive Science | PhD @ YalePsychology | Computational Modeling | Metacognition | Social Cognition | Perception | Women’s Health Advocacy marleneberke.github.io
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.
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/
Lucas Resck @lucasresck.bsky.social PhD student in NLP at Cambridge | ELLIS PhD student
https://lucasresck.github.io/
sqIRL Lab @sqirllab.bsky.social We are sqIRL(squirrel), the Interpretable Representation Learning Lab based at IDLab - University of Antwerp & imec.
Research Areas: #RepresentationLearning, #Interpretability, #explainability
#ML #AI #XAI #mechinterp
Website: https://sqirllab.github.io/
Conor O'Sullivan @conorosullyds.bsky.social PhD in progress - XAI and ML for coastal monitoring 🌊
My content: linktr.ee/conorosullyds
Neel Rajani @neelrajani.bsky.social PhD student in Responsible NLP at the University of Edinburgh, curious about interpretability and alignment
Francesco Ortu @francescortu.bsky.social NLP & Interpretability | PhD Student @ University of Trieste & Laboratory of Data Engineering of Area Science Park | Prev MPI-IS
Stephen MacNeil @stevemacn.bsky.social Assistant Professor, HCI Lab Director, Temple University
Currently passionate about computing education, assistive technology, and undergraduate research.
Isabelle Augenstein @iaugenstein.bsky.social Professor at the University of Copenhagen. Explainable AI, Natural Language Processing, ML. Head of copenlu.bsky.social lab.
#NLProc #NLP #XAI
http://isabelleaugenstein.github.io/
Kristen Vaccaro @kvaccaro.bsky.social Asst. Professor at UCSD
https://kvaccaro.com/
Sebastian Bordt @sbordt.bsky.social Language models and interpretable machine learning. Postdoc @ Uni Tübingen.
https://sbordt.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
Adrian Hill @adrianhill.de PhD student at @bifold.berlin, Machine Learning Group, TU Berlin.
Automatic Differentiation, Explainable AI and #JuliaLang.
Open source person: adrianhill.de
NeurIPS Conference @neuripsconf.bsky.social San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
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
Kirill Bykov @kirillbykov.bsky.social PhD student in Interpretable ML @UMI_Lab_AI, @bifoldberlin, @TUBerlin
Gunnar König @gunnark.bsky.social PostDoc @ Uni Tübingen
explainable AI, causality
gunnarkoenig.com
Mateusz Pach @mateuszpach.bsky.social ELLIS PhD Student @ TU Munich and Helmholtz AI
🔍⚙️ Interpretability
🖼️📚 Multimodal ML
✨🎨 Generative AI
Katharina Beckh @kbeckh.bsky.social Data Scientist at Fraunhofer IAIS
PhD Student at University of Bonn
Lamarr Institute
XAI, NLP, Human-centered AI
Dan Goldstein @dggoldst.bsky.social Partner Research Manager at Microsoft Research NYC. AI, Economics, Decision Science.
Tiago Torrent @tiagotorrent.com Cognitive Linguist doing research on Natural Language Processing with Frames and Constructions at FrameNetBrasil and GlobalFrameNet (he/him).
https://tiagotorrent.com
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/
Hector Kohler @hectorkohler.bsky.social PhD student in interpretable reinforcement learning at Inria Scool. http://Kohlerhector.github.io/homepage/
Alex Cabrera @cabreraalex.bsky.social PhD @ CMU. Work on HCI + AI.
https://cabreraalex.com
Dominik Moritz @domoritz.de Visualization, data, AI/ML. Professor at CMU (@dig.cmu.edu, @hcii.cmu.edu) and researcher at Apple. Previously @idl.uw.edu. Also sailboats ⛵️ and chocolate 🍫.
www.domoritz.de
Angie Boggust @angieboggust.bsky.social MIT PhD candidate in the VIS group working on interpretability and human-AI alignment
Dorsa Rohani @dorsarohani.bsky.social Deep learning, prev @NVIDIA
Christina (Chrisy) Bornberg @variint.bsky.social Enjoy not enjoying ideals | Interpretability of modular convnets applied to 👁️ and 🛰️🐝 | she/her 🦒💕
variint.github.io
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
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
Dilyara Bareeva @dilya.bsky.social PhD Candidate in Interpretability @FraunhoferHHI | 📍Berlin, Germany
dilyabareeva.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
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.
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
Emile van Krieken @emilevankrieken.com Assistant professor @ VU Amsterdam, prev University of Edinburgh.
Neurosymbolic Machine Learning, Generative Models, commonsense reasoning
https://www.emilevankrieken.com/
Hari Subramonyan @subramonyam.bsky.social Faculty at Stanford | HCI+ Cognition| Learning Sciences | Artist | Canned seafood enthusiast.
Isabelle Lee @wordscompute.bsky.social ml/nlp phding @ usc, currently visiting harvard;
training & interpretability & reasoning
iglee.me
Marwin Segler @marwinsegler.bsky.social Machine Learning, {Org, Med, Comp} Chem, RL/Planning, AI-assisted Scientific Discovery & Creativity, Music. ELLIS Scholar. Team Lead at Microsoft Research AI for Science. 2xDad
Taylor Webb @taylorwwebb.bsky.social Studying cognition in humans and machines. Assistant Prof at Princeton Neuroscience Institute and Department of Psychology. https://scholar.google.com/citations?user=WCmrJoQAAAAJ&hl=en
Judy Fan @judithfan.bsky.social Cognitive scientist seeking to reverse engineer the human cognitive toolkit. Asst Prof of Psychology at Stanford. Lab website: https://cogtoolslab.github.io
Guy Van den Broeck @guyvdb.bsky.social 🎓 CS Prof at UCLA
🧠 Researching reasoning and learning in artificial intelligence: tactable deep generative models, probabilistic circuits, probabilistic programming, neurosymbolic AI
https://web.cs.ucla.edu/~guyvdb/
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
Kate Morrison @kate-c-morrison.bsky.social Ph.D. student @cmuhcii | human-AI collaboration | @IBMResearch intern | prev: @MSFTResearch intern | @SciPitt Alumna | Spanish B1 level
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 🇨🇦
Wesley Hanwen Deng @wesleydeng.bsky.social Ph.D. @ CMU HCII. Developing tools and processes to support Responsible AI practices on the ground.
Currently focusing on AI red-teaming, auditing, and impact assessment.
Prev. Microsoft Research, Berkeley EECS.
https://www.wesleydeng.com
Michelle Lam @mlam.bsky.social Stanford CS PhD student | hci, human-AI interaction (+ dance, design, doodling!)
michelle123lam.github.io
Juho Kim @juhokim.bsky.social Professor in the School of Computing at KAIST. HCI and Human-AI Interaction researcher. Director of kixlab.org. juhokim.com
Mina Lee @mnlee.bsky.social Assistant Professor @ UChicago CS/DSI (NLP & HCI) | Writing with AI ✍️
https://minalee-research.github.io/
Vera Liao @qveraliao.bsky.social Researcher@MSR, incoming Associate Prof@UMich. Studying human-AI interaction
Greta Warren @gretawarren.bsky.social Postdoc @copenlu.bsky.social interested in designing human-centred transparent AI and information systems.
Research interests: human-AI interaction + explainable AI + fact-checking
🌐 https://gretawarren.github.io/
📍 🇩🇰/🇮🇪
Vilém Zouhar @zouhar.bsky.social PhD @ ETH Zürich | working on (multilingual) evaluation of NLP | on the academic job market | go #vegan | https://vilda.net
Adina Williams @adinawilliams.bsky.social NLP, Linguistics, Cognitive Science, AI, ML, etc.
Job currently: Research Scientist (NYC)
Job formerly: NYU Linguistics, MSU Linguistics
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
Mitchell Gordon @mitchellgordon.bsky.social Incoming assistant prof at MIT CSAIL, CS PhD from Stanford. HCI, human-AI interaction, social computing.
Qiaosi (Chelsea) Wang @qiaosiwang.bsky.social 🐾Carnegie Bosch Postdoc @ Carnegie Mellon HCII
🤖Mutual Theory of Mind, Human-AI Interaction, Responsible AI.
👩🏻🎓Ph.D. from 🐝Georgia Tech HCC. Prev Google Research, IBM Research, UW-Seattle. She/Her.
🔗 http://qiaosiwang.me/
J.D. Zamfirescu-Pereira @zamfi.bsky.social I study humans, AI systems, and humans+AI systems as a PhD student @ Berkeley, Assistant Prof @ CCA; previously MIT, EtherPad, Google, Stanford.
Sherry Tongshuang Wu @sherrytswu.bsky.social Assist. Prof at CMU, CS PhD at UW. HCI+AI, map general-purpose models to specific use cases!
Tom Hope @tomhope.bsky.social Assistant professor, research scientist | boosting scientific discovery with AI, NLP, IR, KG, HCI | @ai2.bsky.social
@nperello.bsky.social @nperello.bsky.social CS PhD Candidate at UMass Amherst
ML Fairness and Explainability
https://nperello.github.io
Amir Rahnama @amirrahnama.bsky.social PhD Student at KTH Royal Institute of Technology.
Researching Explainability and Interpretability in Machine Learning
Lucie Charlotte Magister @charlottemagister.bsky.social PhD student @ University of Cambridge, focusing on Explainability and Interpretability for GNNs
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
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
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
Thomas George @tfjgeorge.bsky.social Explainability of deep neural nets and causality https://tfjgeorge.github.io/
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.
Rosa Zhou @qiaoyu-rosa.bsky.social Senior applied scientist @Microsoft | PhD from @UChicagoCS | Build LLM copilot for group communications.
Matt Groh @mattgroh.bsky.social Assistant professor at Northwestern Kellogg | human AI collaboration | computational social science | cognitive science
Ken Holstein @kenholstein.bsky.social HCI Prof at CMU HCII: thecoalalab.com
Research on:
- technologies to augment human thinking and learning
- participatory & responsible AI
- human-AI interaction
Ethan Mollick @emollick.bsky.social Professor at Wharton, studying AI and its implications for education, entrepreneurship, and work. Author of Co-Intelligence.
Book: https://a.co/d/bC2kSj1
Substack: https://www.oneusefulthing.org/
Web: https://mgmt.wharton.upenn.edu/profile/emollick
Center for Adaptive Rationality (MPIB, Berlin) @arc-mpib.bsky.social Interdisciplinary research group at the Max Planck Institute for Human Development (@mpib-berlin.bsky.social). We study decision making in today’s complex and fast-changing world.
Website: https://tinyurl.com/bdfy736y
Podcast: unravelingbehavior.org
Mark Himmelstein @madsocialscientist.bsky.social Assistant Professor of Psychology at Georgia Tech. Decision making, belief revision, uncertainty, and forecasting. Mets and Knicks fan who hopes to live long enough to see a championship.
Griffiths Computational Cognitive Science Lab @cocoscilab.bsky.social Tom Griffiths' Computational Cognitive Science Lab at Princeton. Studying the computational problems human minds have to solve.
Science of Boosting @scienceofboosting.bsky.social Using behavioral sciences to help people make better decisions by and for themselves. Maintained by the Boosting Research Group at
@arc-mpib.bsky.social @mpib-berlin.bsky.social
(Max Planck Institute f. Human Development in Berlin).
scienceofboosting.org
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.
Connor Lawless @lawlessopt.bsky.social Stanford MS&E Postdoc | Human-Centered AI & OR
Prev: @CornellORIE @MSFTResearch, @IBMResearch, @uoftmie 🌈