BrianLinuxing (on threads too!) 🇮🇪
• 45+ years of computing
• Founder #LinuxingInLondon Britain's largest free educational & inclusive Linux group
• Wikipedian
• #Linux desktop specialist
• I code, give talks and do training too!
• IT Manager, I talk Mainframes
@kennethmarino.bsky.social
Assistant Prof at University of Utah Fall 2025. NLP+CV+RL. RS at Google DeepMind. PhD from CMU MLD, undergrad Georgia Tech. Sometimes researcher, frequent shitposter.
@cjdamato.bsky.social
Associate Professor at Northeastern University and father of 3. Interests include artificial intelligence, reinforcement learning, and robotics (he/him).
@vmoens.bsky.social
Research Engineer - PyTorch core - Meta@London - Open-source/open science advocate Maintainer of torchrl / tensordict / leanrl Former MD - Neuroscience PhD https://github.com/vmoens
@allenanie.bsky.social
Stanford CS PhD working on RL and LLMs with Emma Brunskill and Chris Piech. Co-creator of Trace. Prev @GoogleDeepMind @MicrosoftResearch Specifically - Offline RL - In-context RL - Causality https://anie.me/about Unverified hot takes go to this account
@mandanas.bsky.social
PhD candidate at McGill and Mila (Quebec AI Institute) w/ Blake Richards and Doina Precup. Doing research on AI and Neuroscience 🤖🧠 Based in Montreal. 🇨🇦
@natashajaques.bsky.social
Assistant Professor at UW and Senior Research Scientist at Google DeepMind. Social Reinforcement Learning in multi-agent and human-AI interactions. PhD from MIT. Check out https://socialrl.cs.washington.edu/ and https://natashajaques.ai/.
@danielrjiang.bsky.social
Research Scientist Meta, Adjunct Professor at University of Pittsburgh. Interested in reinforcement learning, approximate DP, adaptive experimentation, Bayesian optimization, & operations research. http://danielrjiang.github.io 📍Chicago, IL
@raymondrchua.bsky.social
NeuroAI PhD Candidate at McGill / Mila. Loves: 🧠 🏕️ 🏔️ 🏊🏻♂️ 🚴🏻♂️ 🏃🏻♂️ 🎨📚☕ https://raymondchua.github.io
@jmendezm.bsky.social
Embodied lifelong learning (compositionality, RL, TAMP, robotics). Assistant Professor at Stony Brook ECE. Postdoc at MIT CSAIL, PhD from GRASP lab at Penn. https://jorge-a-mendez.github.io
@stonet2000.bsky.social
PhDing @UCSanDiego @HaoSuLabUCSD @hillbot_ai on scalable robot learning, reinforcement learning, and embodied AI. Co-founded @LuxAIChallenge to build AI competitions. @NSF GRFP fellow http://stoneztao.com
@tomdupuis.bsky.social
PhD student @ENSTAParis🇫🇷, TD Learning and deep RLing, representation matters MVA/CentraleSupélec alumni
@noreward4u.bsky.social
Reward-Free Model-based Maximalist. High-dimensional Empowerment. Self-Preserving Autonomous Agents. Theories of intelligence grounded in compositional control.
@bramgrooten.bsky.social
PhD student at the TU Eindhoven. Researching deep learning, RL, sparse neural networks, robotics.
@antoine-mln.bsky.social
doing a phd in RL/online learning on questions related to exploration and adaptivity > https://antoine-moulin.github.io/
@balloch.bsky.social
Robotics PhD Candidate @GeorgiaTech studying #RL and #AI I mostly tweet about #AI, #robots, #science, and #3dprinting My thoughts and opinions are my own. jballoch.com
@stephmilani.bsky.social
PhD Student in Machine Learning at CMU. On the academic job market! 🐦 twitter.com/steph_milani 🌐 stephmilani.github.io
@claireve.bsky.social
Group Leader in Tübingen, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
@lucidrains.bsky.social
Boston transplant now living in San Francisco with a border collie / lab mix
@zicokolter.bsky.social
Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
@lisaschut.bsky.social
phd student at university of Oxford 🌾 prev: visited the cocosci lab, google brain, deepmind 🐙
@harshitsikchi.bsky.social
I study Reinforcement Learning. PhD from UT Austin. Previously FAIR Paris, Meta US, NVIDIA, CMU, and IIT Kharagpur. Website: https://hari-sikchi.github.io/
@soumithchintala.bsky.social
Cofounded and lead PyTorch at Meta. Also dabble in robotics at NYU. AI is delicious when it is accessible and open-source. http://soumith.ch
@vdean.bsky.social
Asst. Prof. @ Olin College of Engineering | CMU, MIT alum | reinforcement learning, AI ethics, equity and justice, baking | ADHD 💖💜💙
@catalinacangea.bsky.social
ex-GenMusic co-lead @ DeepMind 👩🏻💻 🎸🎹, prog/metal/alt/classic rock, jazz, poetry, 🚣🏻♀️🚴🏻♀️🧘🏻♀️, traveling, festivals. Sometimes ❤️s AI/ML/data 📊 Attends too many concerts 🎫 King's/Darwin/Murray Edwards College, University of Cambridge 🎓
@milesbrundage.bsky.social
AI policy researcher, wife guy in training, fan of cute animals and sci-fi. Started a Substack recently: https://milesbrundage.substack.com/
@moyix.net
AI researcher at XBOW, Associate Professor @ NYU Tandon (on leave). Security, RE, ML. PGP http://keybase.io/moyix/ Founder of the MESS Lab: http://messlab.moyix.net
@acl21.bsky.social
MSc CS at University of Freiburg. Reinforcement Learning & Robot Manipulation. Applying for PhD 2025.
@mattieml.bsky.social
Reinforcement Learning Postdoc at FLAIR, University of Oxford @universityofoxford.bsky.social All opinions are my own.
@reniebird.bsky.social
Incoming Prof at Brown University, PI of the GIRAFFE lab, former AI Policy Advisor in the US Senate. PhD at MIT CSAIL '23, Harvard '16, former Google APM. Dog mom to NSDTR Ducki.
@jmac-ai.bsky.social
Ask me about Reinforcement Learning Research @ Sony AI AI should learn from its experiences, not copy your data. My website for answering RL questions: https://www.decisionsanddragons.com/ Views and posts are my own.
@ncollina.bsky.social
Penn CS PhD student and IBM PhD Fellow studying strategic algorithmic interaction. Calibration, commitment, collusion, collaboration. She/her. Nataliecollina.com
@behzadan.bsky.social
Professionally curious about the science of making bad decisions; AI safety and security researcher; Assistant Professor of CS and Data Science & Director of the Secure and Assured Intelligent Learning (SAIL) lab @ University of New Haven.
@dongyanl1n.bsky.social
Postdoc at Meta FAIR, Comp Neuro PhD @McGill / Mila. Looking at the representation in brains and machines 🔬 https://dongyanl1n.github.io/
@yoavartzi.com
LM/NLP/ML researcher ¯\_(ツ)_/¯ yoavartzi.com / associate professor @ Cornell CS + Cornell Tech campus @ NYC / nlp.cornell.edu / associate faculty director @ arXiv.org / researcher @ ASAPP / starting @colmweb.org / building RecNet.io
@manfreddiaz.bsky.social
Ph.D. Candidate at Mila and the University of Montreal, interested in AI/ML connections with economics, game theory, and social choice theory. https://manfreddiaz.github.io
@rupalibhati.bsky.social
PhD student at Northeastern University | MARL | Ex Mila | rupalibhati.github.io
@izzycw.bsky.social
PhD Student at UC San Diego | LLM Agents, Reinforcement Learning, Human-AI Collaboration, Multi-Agent Systems
@daniel-fried.bsky.social
Assistant prof at LTI CMU; Research scientist at Meta AI. Working on NLP: language interfaces, applied pragmatics, language-to-code, grounding. https://dpfried.github.io/
@gokul.dev
PhD student at @cmurobotics.bsky.social working on interactive learning from implicit human feedback (e.g. imitation/RLHF). no model is an island. https://gokul.dev/.
@phillipisola.bsky.social
Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI. https://web.mit.edu/phillipi/
@sikatasengupta.bsky.social
cs phd @upenn advised by Michael Kearns, Aaron Roth, and Duncan Watts| previously @stanford | she/her https://psamathe50.github.io/sikatasengupta/
@paulmasset.bsky.social
Assistant Professor, McGill University | Affiliate Member, Mila - Quebec AI Institute | Neuroscience and AI, learning and inference, dopamine and cognition https://www.mcgill.ca/psychology/paul-masset