Matheo Angelo ♾️🌻 @matheoapd.bsky.social PhD student at ICMC-USP 🇧🇷, autistic autism researcher in participatory responsible AI and machine learning on graphs
Pratik Patil @ppatil.bsky.social 🧠 PhD Student | AI × Protein Dynamics
🔬 Conformational ensembles • PINNs • Molecular Dynamics
💻 JAX • PyTorch • GNNs • Quantum Algorithms
🧪 Tech Advisor @ultranous.ai
(Part time)
📍UK | Exploring structure, motion, and everything in between
Angela Collier @acollierastro.bsky.social Theoretical Physicist.
(She/her/hers)
From Eastern KY.
Temporal Graph Learning Reading Group @tempgraphrg.bsky.social Research on Temporal Graph Learning 🔸Thursdays 11am-12pm EST🔸 zoom 🔸
Organizers: @shenyanghuangtg.bsky.social;
FarimahPoursafaei; @juliagasti.bsky.social; @vstenby.bsky.social; Emma Kondrup; Sebastian Sabry
website: shenyanghuang.github.io/rg.html
Javier E. Fernandez @javif86.bsky.social 🧬🦠 Postdoc AMR/Microbial Genomics/Bioinformatics. Tracking AMR bacteria and its MGEs from a One-Health perspective. Passionate ➡️ phylogenomics, GDL, TDL, deep learning, graphs, plasmids, phages,... 🇦🇷 in 🇨🇭
Thomas Steinke @stein.ke Researcher in computer science, math, machine learning, (differential) privacy, AI, etc. at Anthropic.
Kiwi🇳🇿 in California🇺🇸
http://stein.ke/
Daniel Probst @skepteis.bsky.social Computer scientist, Bioinformatician, PhD in Chemistry and Molecular Sciences. Working on the above as an Assistant Prof at WUR. Interested in all the sciences. Materialist. Fan of cats, Punk Rock, and Hockey.
@ai-ucsb.bsky.social @ai-ucsb.bsky.social 
UCSB Electrical and Computer Engineering Department @ucsbece.bsky.social Official account of UC Santa Barbara's Electrical and Computer Engineering Department.
@geomstats.bsky.social @geomstats.bsky.social 
Geometric Intelligence Lab @geometric-intel.bsky.social Research lab at UCSB Engineering revealing the geometric signatures of nature and artificial intelligence | PI: @ninamiolane.bsky.social
Julian Skirzynski @jskirzynski.bsky.social PhD student in Computer Science @UCSD. Studying interpretable AI and RL to improve people's decision-making.
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
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
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!
Maria Eckstein @mariaeckstein.bsky.social Research scientist at Google DeepMind.
Intersection of cognitive science and AI. Reinforcement learning, decision making, structure learning, abstraction, cognitive modeling, interpretability.
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
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
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
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
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
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
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