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/
Christoph Molnar @christophmolnar.bsky.social Author of Interpretable Machine Learning and other books
Newsletter: https://mindfulmodeler.substack.com/
Website: https://christophmolnar.com/
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
Stefan Herzog @stefanherzog.bsky.social Senior Researcher @arc-mpib.bsky.social MaxPlanck @mpib-berlin.bsky.social, group leader #BOOSTING decisions: cognitive science, AI/collective intelligence, behavioral public policy, comput. social science, misinfo; stefanherzog.org scienceofboosting.org
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
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
Thomas Fel @thomasfel.bsky.social Explainability, Computer Vision, Neuro-AI.🪴 Kempner Fellow @Harvard.
Prev. PhD @Brown, @Google, @GoPro. Crêpe lover.
📍 Boston | 🔗 thomasfel.me
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
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
Alessio Devoto @alessiodevoto.bsky.social PhD in ML/AI | Researching Efficient ML/AI (vision & language) 🍀 & Interpretability | @SapienzaRoma @EdinburghNLP | https://alessiodevoto.github.io/ | ex @NVIDIA
vedang @vedanglad.bsky.social ai interpretability research and running • thinking about how models think • prev @MIT cs + physics
Vidhisha Balachandran @vidhishab.bsky.social AI Evaluation and Interpretability @MicrosoftResearch, Prev PhD @CMU.
David Atkinson @diatkinson.bsky.social PhD student at Northeastern, previously at EpochAI. Doing AI interpretability.
diatkinson.github.io
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
Pepa Atanasova @apepa.bsky.social Assistant Professor, University of Copenhagen; interpretability, xAI, factuality, accountability, xAI diagnostics https://apepa.github.io/- D David Bau @davidbau.bsky.social Interpretable Deep Networks. http://baulab.info/ @davidbau
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/
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
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
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
Isabelle Lee @wordscompute.bsky.social ml/nlp phding @ usc, currently visiting harvard;
training & interpretability & reasoning
iglee.me
Ron Itelman @ronitelman.bsky.social O'Reilly Author, "Unifying Business, Data, and Code" (2024), and Apress author, "The Language of Innovation" (2025)
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.
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
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!
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
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
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
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
Dorsa Rohani @dorsarohani.bsky.social Deep learning, prev @NVIDIA
John E-gen @johnegan.bsky.social Albuquerque AI / Atomic Entropy
abqgpt.com yourai.expert
folks call me the ‘AI expert’, not chasing the $$$ or seeking the spotlight, just trying to help normal folks prosper with this tech in a safe and secure manner, my 1st tech startup was in 1995
Duen Horng "Polo" Chau @polochau.bsky.social Professor, Georgia Tech • ML+VIS • Director, Polo Club of AI 🚀 poloclub.gatech.edu • Carnegie Mellon alum. Covert designer, cellist, pianist faculty.cc.gatech.edu/~dchau
Michelle Lam @mlam.bsky.social Stanford CS PhD student | hci, human-AI interaction (+ dance, design, doodling!)
michelle123lam.github.io
Fred Hohman @fredhohman.bsky.social HCI+ML Research Scientist at Apple. Drummer and frisbee thrower.
Alex Cabrera @cabreraalex.bsky.social PhD @ CMU. Work on HCI + AI.
https://cabreraalex.com
Angie Boggust @angieboggust.bsky.social MIT PhD candidate in the VIS group working on interpretability and human-AI alignment
Hector Kohler @hectorkohler.bsky.social PhD student in interpretable reinforcement learning at Inria Scool. http://Kohlerhector.github.io/homepage/
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/
Dan Goldstein @dggoldst.bsky.social Partner Research Manager at Microsoft Research NYC. AI, Economics, Decision Science.
Katharina Beckh @kbeckh.bsky.social Data Scientist at Fraunhofer IAIS
PhD Student at University of Bonn
Lamarr Institute
XAI, NLP, Human-centered AI- H Michael Tran @huytransformer1.bsky.social
Gunnar König @gunnark.bsky.social PostDoc @ Uni Tübingen
explainable AI, causality
gunnarkoenig.com
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
Jelle Zuidema 🟥 @wzuidema.bsky.social Associate Professor of Natural Language Processing & Explainable AI, University of Amsterdam, ILLC
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
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
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
Sebastian Bordt @sbordt.bsky.social Language models and interpretable machine learning. Postdoc @ Uni Tübingen.
https://sbordt.github.io/