Dallas Amico-Korby
PhD candidate at UC San Diego working in social epistemology, Phil tech, and metaethics.
@lesiasemenova.bsky.social
Postdoctoral Researcher at Microsoft Research • Incoming Faculty at Rutgers CS • Trustworthy AI • Interpretable ML • https://lesiasemenova.github.io/
@elglassman.bsky.social
Assistant Professor @ Harvard SEAS specializing in human-computer and human-AI interaction. Also interested in visualization, digital humanities, urban design.
@juliusad.bsky.social
ML researcher, building interpretable models at Guide Labs (guidelabs.bsky.social).
@juffi-jku.bsky.social
Researcher Machine Learning & Data Mining, Prof. Computational Data Analytics @jkulinz.bsky.social, Austria.
@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
@wendlerc.bsky.social
Postdoc at the interpretable deep learning lab at Northeastern University, deep learning, LLMs, mechanistic interpretability
@berkustun.bsky.social
Assistant Prof at UCSD. I work on interpretability, fairness, and safety in ML. www.berkustun.com
@zhuzining.bsky.social
Asst Prof @ Stevens. Working on NLP, Explainable, Safe and Trustworthy AI. https://ziningzhu.github.io
@wzuidema.bsky.social
Associate Professor of Natural Language Processing & Explainable AI, University of Amsterdam, ILLC
@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
@eberleoliver.bsky.social
Senior Researcher Machine Learning at BIFOLD | TU Berlin 🇩🇪 Prev at IPAM | UCLA | BCCN Interpretability | XAI | NLP & Humanities | ML for Science
@amuuueller.bsky.social
Postdoc at Northeastern and incoming Asst. Prof. at Boston U. Working on NLP, interpretability, causality. Previously: JHU, Meta, AWS
@yoavgo.bsky.social
@colah.bsky.social
Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.
@soniajoseph.bsky.social
AI researcher at Mila, visiting researcher at Meta Also on X: @soniajoseph_
@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
@mlamparth.bsky.social
Postdoc at @Stanford, @StanfordCISAC, Stanford Center for AI Safety, and the SERI program | Focusing on interpretable, safe, and ethical AI decision-making.
@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
@mariaeckstein.bsky.social
Research scientist at Google DeepMind. Intersection of cognitive science and AI. Reinforcement learning, decision making, structure learning, abstraction, cognitive modeling, interpretability.
@jasmijn.bastings.me
Senior Research Scientist at Google DeepMind. Interested in (equitable) language technology, gender, interpretability, NLP. Views my own. She/her. 🌐 jasmijn.bastings.me
@peyrardmax.bsky.social
Junior Professor CNRS (previously EPFL, TU Darmstadt) -- AI Interpretability, causal machine learning, and NLP. Currently visiting @NYU https://peyrardm.github.io
@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 🧩, 🥾,🎨 Organizing for democracy.🗽 www.rlaw.me
@elianapastor.bsky.social
Assistant Professor at PoliTo 🇮🇹 | Currently visiting scholar at UCSC 🇺🇸 | she/her | TrustworthyAI, XAI, Fairness in AI https://elianap.github.io/
@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
@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
@sarahwiegreffe.bsky.social
Research in NLP (mostly LM interpretability & explainability). Incoming assistant prof at UMD CS + CLIP. Current postdoc @ai2.bsky.social & @uwnlp.bsky.social Views my own. sarahwie.github.io
@apepa.bsky.social
Assistant Professor, University of Copenhagen; interpretability, xAI, factuality, accountability, xAI diagnostics https://apepa.github.io/
@thomasfel.bsky.social
Explainability, Computer Vision, Neuro-AI.🪴 Kempner Fellow @Harvard. Prev. PhD @Brown, @Google, @GoPro. Crêpe lover. 📍 Boston | 🔗 thomasfel.me
@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.
@jeku.bsky.social
Postdoc at Linköping University🇸🇪. Doing NLP, particularly explainability, language adaptation, modular LLMs. I‘m also into🌋🏕️🚴.
@bharathr98.com
Theoretical physicist at day. ML researcher at night. Currently split between CERN and UniGE. Ex - IISER-M, @caltech.edu https://scholar.google.com/citations?user=8BDAnVAAAAAJ
@kylem.bsky.social
Full of childlike wonder. Building friendly robots. UT Austin PhD student, MIT ‘20.
@variint.bsky.social
Enjoy not enjoying ideals | Interpretability of modular convnets applied to 👁️ and 🛰️🐝 | she/her 🦒💕 variint.github.io
@romapatel.bsky.social
research scientist @deepmind. language & multi-agent rl & interpretability. phd @BrownUniversity '22 under ellie pavlick (she/her) https://roma-patel.github.io
@fedeadolfi.bsky.social
Computation & Complexity | AI Interpretability | Meta-theory | Computational Cognitive Science https://fedeadolfi.github.io
@akanksha-saran.bsky.social
AI. RL. Robots+Humans. Building general purpose agents. Research Scientist in the Gaming and Interactive Agents Group at Sony AI. Prev: MSFT Research, UT Austin, CMU, IIT Jodhpur. https://scholar.google.com/citations?user=zZhWSQ0AAAAJ&hl=en
@dianamarculescu.bsky.social
Computer engineer and Professor/Department Chair at UT Austin #Energy #Computing #DiversityInTech. Math, art, literature lover. Opinions are my own. She/her.
@mariadearteaga.bsky.social
Asst Professor, IROM Dept, UT Austin | FAccT EC | PhD, Machine Learning & Public Policy, Carnegie Mellon | Algorithmic fairness, human-AI collab | 🇨🇴 💚 she/her/ella.
@alexdimakis.bsky.social
UC Berkeley Professor working on AI. Co-Director: National AI Institute on the Foundations of Machine Learning (IFML). http://BespokeLabs.ai cofounder
@swarat.bsky.social
Professor of Computer Science at UT Austin and Visiting Researcher at Google Deepmind, London. Automated Reasoning + Machine Learning + Formal Methods. https://www.cs.utexas.edu/~swarat
@digthatdata.bsky.social
Probabilistic ML, Learning Theory, Philosophy of Science, Complex Systems, Nonlinear Dynamics, Disinformation Intervention YIMBY Research MLE, CoreWeave + EleutherAI xStabilityai | xMSFT | xAMZN What I'm reading: https://dmarx.github.io/papers-feed/
@hails.computer
@storytracer.org
Open Data Specialist @eleutherai.bsky.social & Digital Historian @eui-history.bsky.social. Co-founder of @datarescueproject.org and @sucho-org.bsky.social. Personal website: https://www.storytracer.org/
@usvsnsp.bsky.social
Research @MsftResearch | Prev Research @EleutherAI I like playing with LLMs