Sebastian Gluth @sgluth.bsky.social Professor for Cognitive Modelling & Decision Neuroscience (@cmdn-lab.bsky.social) at the University of Hamburg (@uni-hamburg.de). Interested in raising two kids, bouldering, football, and other things (if time permits).
Jordan Deakin @jordantdeakin.bsky.social Postdoc @cmdn-lab.bsky.social (@uni-hamburg.de) 🧠
| interested in attention, decision-making and modelling it! 👩🏻💻
PyMC Labs @pymc-labs.bsky.social The Bayesian AI Consultancy • Using PyMC to solve your most challenging data science problems • http://pymc-labs.com
Neil Bramley @neilbramley.bsky.social Cognitive Psychology Reader (Assoc. Prof) at Edinburgh Uni - Into causal cognition, active learning, compositionality & generalisation
Lars C. Reining @lreining.bsky.social PhD Student @ Centre for Cognitive Science, TU Darmstadt
Tom Silver @tomssilver.bsky.social Assistant Professor @Princeton. Developing robots that plan and learn to help people.
https://tomsilver.github.io/
Prof. Lucy Cheke @lucycheke.bsky.social Cambridge psychologist studying learning & memory. Focus on translational cognitive tests and batteries across animals, AI and humans to help us understand all kinds of intelligence and where it goes wrong
Harry D. Coulson @harrydcoulson.bsky.social PhD student @UCL researching judgement and decision-making & pro-environmental behaviour change. Current focus: social norms & rank-based nudging. Based in Basel 🇨🇭
kir∅ul @kiroul.org 
Danqing Shi @danqingshi.bsky.social Human-AI Interaction, Human-Computer Interaction, Visualization
https://sdq.github.io
Sander van der Linden @profsanderlinden.bsky.social Professor of Social Psychology in Society at the University of Cambridge and Author of FOOLPROOF: Why We Fall for Misinformation and How to Build Immunity (2023) + The Psychology of Misinformation (2024). Bad News Game.
www.sandervanderlinden.com
Miri Zilka @mirizilka.bsky.social Senior Research Associate & Leverhulme Trust Fellow in Machine Learning at CambridgeMLG. CRA at King's College Cambridge and Associate Fellow a lCFI.
https://sites.google.com/view/miri-zilka/home
.
BIFOLD Berlin Institute for the Foundations of Learning and Data @bifold.berlin Groundbreaking foundational research in Big Data Management, Machine Learning, and their intersection. #AI #Research
www.bifold.berlin
📰News: www.bifold.berlin/news-events/news
🔑Data Privacy: www.bifold.berlin/data-privacy
Explainable AI Berlin @xai-berlin.bsky.social Explainable AI research from the machine learning group of Prof. Klaus-Robert Müller at @tuberlin.bsky.social & @bifold.berlin
Mariana Mazzucato @mazzucatom.bsky.social Professor in the Economics of Innovation and Public Value, University College London. Author: Entrepreneurial State, Value of Everything, Mission Economy, Big Con. Founding Director UCL Institute for Innovation & Public Purpose
www.marianamazzucato.com
Matej Zečević @zm388.bsky.social Check out my site for more: https://www.matej-zecevic.de/
Scholar: https://scholar.google.com/citations?hl=de&user=gzJZcPUAAAAJ- R Rahul Bhui @rbhui.bsky.social Associate Professor @MIT Sloan exploring principles of rationality and irrationality. Cognitive science, computational neuroscience, and behavioral economics. https://mitmgmtfaculty.mit.edu/rbhui/
Emma G. Cunningham @emmagcunningham.bsky.social PhD Student in Psychology at the University of Wisconsin-Madison.
I study the impact of technology, specifically video games, on cognitive skills. 🕹️
Daniel Brown @daniel-brown.bsky.social CS assistant prof @Utah. Researches human-robot interaction, human-in-the-loop ML, AI safety and alignment. https://users.cs.utah.edu/~dsbrown/
Scott Niekum @scottniekum.bsky.social Associate prof @ UMass Amherst CICS.
AIignment, reinforcement learning, imitation learning, and robotics.
Markus Knauer @markusknauer.bsky.social Research Scientist @ German Aerospace Center (DLR) & Doctoral Candidate + TA @ Technical University of Munich (TUM)
https://markusknauer.github.io
#robotics #machineLearning
Aaron Dharna @aadharna.bsky.social PhD Student at UBC under Dr. Jeff Clune. Interested in RL, Generative Modeling, and Games (both for AI and for me)
RL & Agents Reading Group @rl-agents-rg.bsky.social RL & Agents Reading Group @ University of Edinburgh
We regularly discuss recent papers in RL, MARL & related
https://edinburgh-rl.github.io/reading-group
Marc Lanctot @sharky6000.bsky.social Research scientist interested in multiagent reinforcement learning, game theory, games, and search/planning.
Lover of Linux 🐧, coffee ☕, and retro gaming. Big fan of open-source. #gohabsgo 🇨🇦
For more info: https://linktr.ee/sharky6000
Dane Carnegie Malenfant @dvnxmvlhdf5.bsky.social MSc. @mila-quebec.bsky.social and @mcgill.ca in the LiNC lab
Fixating on multi-agent RL, Neuro-AI and decisions
Ēka ē-akimiht
https://danemalenfant.com/
Junyi Chu @junyi.bsky.social Cognitive scientist studying play & problem solving
jchu10.github.io
Stella Biderman @stellaathena.bsky.social I make sure that OpenAI et al. aren't the only people who are able to study large scale AI systems.
Mimansa Jaiswal @mimansaj.bsky.social Robustness, Data & Annotations, Evaluation & Interpretability in LLMs
http://mimansajaiswal.github.io/
Christina (Chrisy) Bornberg @variint.bsky.social Enjoy not enjoying ideals | Interpretability of modular convnets applied to 👁️ and 🛰️🐝 | she/her 🦒💕
variint.github.io
Miryam de Lhoneux @mdlhx.bsky.social NLP assistant prof at KU Leuven, PI @lagom-nlp.bsky.social. I like syntax more than most people. Also multilingual NLP, interpretability, mountains and beer. (She/her)
Kyle Morgenstein @kylem.bsky.social Full of childlike wonder. Building friendly robots. UT Austin PhD student, MIT ‘20.
Bharath Radhakrishnan @bharathr98.com 
Jenny Kunz @jeku.bsky.social Postdoc at Linköping University🇸🇪. Doing NLP, particularly explainability, language adaptation, modular LLMs. I‘m also into🌋🏕️🚴.
Dino Sejdinovic @sejdino.bsky.social Professor of Statistical Machine Learning at the University of Adelaide.
https://sejdino.github.io/
Mor Geva @megamor2.bsky.social https://mega002.github.io
Lee Sharkey @leesharkey.bsky.social Scruting matrices @ Apollo Research
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
Abhilasha Ravichander @lasha.bsky.social Tenure-track faculty at the Max Planck Institute for Software Systems
Previously postdoc at UW and AI2, working on Natural Language Processing
Recruiting PhD students!
🌐 https://lasharavichander.github.io/
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
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/
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
Jasmijn Bastings @jasmijn.bastings.me Researcher, writer, photographer.
📸 bastings.art
📃 transponder.blog
🌐 jasmijn.bastings.me
📍 Amsterdam
Kayo Yin @kayoyin.bsky.social PhD student at UC Berkeley. NLP for signed languages and LLM interpretability. kayoyin.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.
Marielza @marielza.bsky.social Retired UNESCO Dir for Digital Inclusion, Policies & Transformation. Chair, UN University, eGov Institute.
UNESCO Women in STEM Committee
Some pottery and cyanotyping
Profile picture is of my face and torso
Banner is a picture I took of a light garden
Nora Belrose @norabelrose.bsky.social AI, philosophy, spirituality
Head of interpretability research at EleutherAI, but posts are my own views, not Eleuther’s.
claudia shi @claudiashi.bsky.social machine learning, causal inference, science of llm, ai safety, phd student @bleilab, keen bean
https://www.claudiashi.com/
Katharina Prasse @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.
Julia Grabinski @juliagrabinski.bsky.social Postdoc at Visual Inference Lab, TU Darmstadt
@patrickknab.bsky.social @patrickknab.bsky.social 
Tim van Erven @timvanerven.nl Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of explainable AI.
www.timvanerven.nl
Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
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
Giuseppe Attanasio @gattanasio.cc Postdoc at @sardine-lab-it.bsky.social working on fair and safe language technologies. | gattanasio.cc | he/him
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
Donatella Genovese @donatellag.bsky.social PhD Student | Works on Explainable AI | prev. visit at LEAP Lab
ETH Zurich | https://donatellagenovese.github.io/
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/
Chandan Singh @csinva.bsky.social Seeking superhuman explanations.
Senior researcher at Microsoft Research, PhD from UC Berkeley, https://csinva.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
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
Jessica Hullman @jessicahullman.bsky.social Ginni Rometty Prof @NorthwesternCS | Fellow @NU_IPR | AI, people, uncertainty, beliefs, decisions, metascience | Blog @statmodeling
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
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