Following

@aaronnam.bsky.social

Tom Dörr @tom-doerr.bsky.social Follow for posts about GitHub repos, DSPy, and agents
Modelmango @modelmango.bsky.social ModelMango: Pushing the boundaries of AI in sequence prediction. Access accurate daily stock price predictions (High, Low, Close) today.
GitHub Trending JS/TS @github-trending-js.bsky.social GitHub trending JS/TS auto-post bot. No official GitHub product. Made by @kawamataryo.bsky.social Code: https://github.com/kawamataryo/bsky-github-trending-bot
Gergely Orosz @gergely.pragmaticengineer.com Writing The Pragmatic Engineer (@pragmaticengineer.com), the #1 technology newsletter on Substack. Author of The Software Engineer's Guidebook (engguidebook.com). Formerly at Uber, Skype, Skyscanner. More at pragmaticengineer.com
Josh Goldberg @joshuakgoldberg.com Frontend @ Sentry 👪 SquiggleConf ✍ Learning TypeScript (O'Reilly) 🌟 Microsoft MVP https://joshuakgoldberg.com
Josh Gondelman @joshgondelman.bsky.social Comedian and writer, year-round iced coffee drinker.
Hacker News Bot @newsycombinator.bsky.social not affiliated with Y Combinator, running on a pi in my basement
Chip Huyen @chiphuyen.bsky.social AI x storytelling AI Engineering: https://amazon.com/dp/1098166302 Designing ML Systems: http://amazon.com/dp/1098107969 @chipro
Matthias Loibl @metalmatze.de Director of @PolarSignals.com Cloud. Building cool products! 🧊 Maintainer of Parca, Pyrra, @Prometheus.io, PromOperator and more. PromCon organizer. @cncf.io Ambassador.
Prometheus Monitoring @prometheus.io The leading open-source monitoring solution - prometheus.io
Ganesh Vernekar @codesome.bsky.social Staff Engineer at Reddit. Prometheus maintainer. Ex Grafana Labs. ganeshvernekar.com/blog
Bryan Boreham @bboreham.bsky.social Programmer. Has commits in gcc, emacs, Go, Kubernetes, Prometheus and other things.
Bartłomiej Płotka @bwplotka.dev Senior SWE TL Google | ex Principal RedHat | Prometheus, Thanos OSS maintainer | CNCF TAG Observability TL | Efficient Go 📖 OReillyMedia
Nicolas Takashi @ntakashi.com Software Engineer talking about Observability | Cloud-Native | SDE | SRE
Frederic Branczyk @brancz.com VP of Data Engineering at Dash0. Previously, founder of Polar Signals (acquired by Dash0).
Julius Volz @juliusv.com 🚀 Co-founder prometheus.io 🏢 Founder promlabs.com and promcon.io 👨🏼‍🏫 Teaching monitoring with Prometheus: training.promlabs.com 📍 Berlin
Kemal Akkoyun @kakkoyun.me GIF Monger, builder, tinkerer and geek. Observability, Reliability, Performance. Mostly focused on #Go, #eBPF and #OpenTelemetry @prometheus.io, and @opentelemetry.io team member. #profiling #kubernetes #golang #zig #linux #perf
Richard "RichiH" Hartmann @richih.bsky.social @RichiH@chaos.social
Matt Layher @mdlayher.com Software Engineer at PlanetScale. Go, Rust, Linux, networking, and open source software. On and ever upward. he/him.
Lili Cosic @lilicosic.com 👩🏻‍💻 Senior Database Engineer @InfluxData working on InfluxDB v3 Enterprise. I enjoy talking about databases, observability and good food. Previously @ HashiCorp, Red Hat. Now in Berlin 🇩🇪 from 🇸🇮
Arve Knudsen @aknudsen.bsky.social Staff software engineer at Grafana Labs. Prometheus maintainer. Based out of Lachen, Switzerland.
𝙳𝚘𝚝𝚊𝚗 𝙷𝚘𝚛𝚘𝚟𝚒𝚝𝚜 @horovits.bsky.social Tech and open source evangelist | Ambassador @cncf.io ⎈ | Ambassador @opensearch.org | Podcaster @openobservability.bsky.social 🎙️ Opinions - my own linkedin.com/in/horovits medium.com/@horovits youtube.com/@horovits fosstodon.org/@horovits
FUSAKLA - Martin Chodur @fusakla.bsky.social fusakla.cz Messing around Prometheus and observability also go developer and SRE/DevOps/whatever
Saswata Mukherjee @saswatamcode.tech Senior SWE @ Red Hat | Thanos maintainer, Prometheus team member | Observability, Distributed Systems, Go & OSS | he/him saswatamcode.tech
Carl Bergquist @carlbergquist.bsky.social Principal Engineer at Grafana Labs. SRE wannabe. Herder of kids.
Basti Schubert @bastischubert.bsky.social Solutions engineer o11y - Former it systemarchitect at isp - formerly secops banking - 30+y firefighter - he/him - views are my own.
Tom @shorez.de Senior Software Engineer at Grafana Labs 🔥 @Prometheus.io maintainer 🔭 @OpenTelemetry.io contributor https://github.com/sh0rez
Tom Wilkie @tomwilkie.bsky.social CTO @ Grafana Labs (@grafana.bsky.social) London-based
Arthur Sens @arthursilvasens.bsky.social
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/
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
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
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
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
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