@compscioxford.bsky.social
Department of Computer Science at the University of Oxford, sharing news on our outstanding research across a broad spectrum of computer science #CompSciOxford
@karen-ullrich.bsky.social
Research scientist at FAIR NY ❤️ Machine Learning + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
@rockt.ai
Director and Open-Endedness Team Lead Google DeepMind (GDM). Professor of Artificial Intelligence, University College London (UCL), and PI of @ucldark.com. Fellow, European Laboratory for Learning and Intelligent Systems (ELLIS).
@bunnech.bsky.social
Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute. www.aimm.epfl.ch
@petar-v.bsky.social
Senior Staff Research Scientist, Google DeepMind Affiliated Lecturer, University of Cambridge Associate, Clare Hall GDL Scholar, ELLIS @ellis.eu 🇷🇸🇲🇪🇧🇦
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@vscode.dev
Visual Studio Code with GitHub Copilot supercharges your code with AI-powered suggestions, right in your editor
@sedielem.bsky.social
Blog: https://sander.ai/ 🐦: https://x.com/sedielem Research Scientist at Google DeepMind (WaveNet, Imagen 3, Veo, ...). I tweet about deep learning (research + software), music, generative models (personal account).
@dynamicwebpaige.bsky.social
✨ Keep it simple, make it scale. AI should be about empowering users and building understanding. 👩💻 AI Developer Experience @ Google DeepMind, ex-Github, ex-Google
@ivyzhengx.bsky.social
JAX & Flax @ GoogleDeepmind Gemini, neural net frameworks & performance video games, and other random things she/her, wife of a wife 🌈
@kylecranmer.bsky.social
Director Data Science Institute @UWMadison, Professor of Physics, EiC @MLSTjournal. Physics, stats/ML/AI, open science.
@typedfemale.bsky.social
@lukasheinrich.com
High Energy Physics/Machine Learning/Data Science Prof @tum.de www.lukasheinrich.com
@hardmaru.bsky.social
I work at Sakana AI 🐟🐠🐡 → @sakanaai.bsky.social https://sakana.ai/careers
@makagan.bsky.social
Physics + Machine Learning Scientist at SLAC National Laboratory at Stanford
@yaringal.bsky.social
Associate Professor of Machine Learning, University of Oxford; OATML Group Leader; Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
@siahkoohi.bsky.social
Assistant Professor, CS at UCF | Uncertainty Quantification https://alisiahkoohi.github.io/
@poorvagarg.bsky.social
Working on Probabilistic Programming Languages https://web.cs.ucla.edu/~poorvagarg/
@approxbayesseminar.bsky.social
Posting about the One World Approximate Bayesian Inference (ABI) Seminar, details at https://warwick.ac.uk/fac/sci/statistics/news/upcoming-seminars/abcworldseminar/
@stellaathena.bsky.social
I make sure that OpenAI et al. aren't the only people who are able to study large scale AI systems.
@danilojrezende.bsky.social
VP of AI Research, Principal Scientist @ EIT Oxford | ex-Director @ DeepMind Building models to accelerate fundamental sciences and medicine. Opinions my own. https://danilorezende.com/
@statmodeling.bsky.social
Automatically tweets new posts from http://statmodeling.stat.columbia.edu Please respond in the comment section of the blog. Old posts spool at https://twitter.com/StatRetro
@sbi-devs.bsky.social
Community-maintained simulation-based inference (SBI) toolkit in PyTorch: • NPE, NLE & NRE • amortized and sequential inference • wide range of diagnostics Posts written by @deismic.bsky.social & @janboelts.bsky.social. 🔗 https://github.com/sbi-dev/sbi
@liza-semenova.bsky.social
Assistant Prof @ImperialCollege. Applied Bayesian inference, spatial stats and deep generative models for epidemiology. Passionate about probabilistic programming—check out my evolving #Numpyro course: https://elizavetasemenova.github.io/prob-epi 🚀
@eugenevinitsky.bsky.social
Anti-cynic. Towards a weirder future. Reinforcement Learning, Autonomous Vehicles, transportation systems, the works. Asst. Prof at NYU https://emerge-lab.github.io https://www.admonymous.co/eugenevinitsky
@anastasiabzv.bsky.social
Assistant professor at Cornell; collective behavior, networks, control, dynamical systems, nonlinearity https://anastasiabzv.github.io
@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
@asbradbury.org
Compilers at Igalia. @llvmweekly.org author. Mostly RISC-V, LLVM, and a little WebAssembly. Previously lowRISC CTO and co-founder. Blogs at https://muxup.com
@matei-zaharia.bsky.social
CTO at Databricks and CS professor at UC Berkeley. https://people.eecs.berkeley.edu/~matei/
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
@alexlew.bsky.social
Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
@cfreer.bsky.social
Research Scientist at MIT studying interactions of randomness and computation
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
@sholtzen.bsky.social
I like computers. assistant prof at northeastern https://www.khoury.northeastern.edu/home/sholtzen/
@lateinteraction.bsky.social
Incoming asst professor at MIT EECS, Fall 2025. Research scientist at Databricks. CS PhD @StanfordNLP.bsky.social. Author of ColBERT.ai & DSPy.ai.
@heathermiller.bsky.social
Professing computery things at CMU, doing science at Two Sigma. Co-founder & former Executive Director of the Scala Center at EPFL. Past life: artist @ Cooper Union
@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
@mlbowers.bsky.social
PhD student at MIT studying program synthesis, probabilistic programming, and cognitive science. she/her
@rosanneliu.com
Founder & executive & community builder & organizer & researcher ML Collective (mlcollective.org) Google DeepMind rosanneliu.com
@dimitrisp.bsky.social
Researcher @MSFTResearch; Prof @UWMadison (on leave); learning in context; thinking about reasoning; babas of Inez Lily. https://papail.io
@jascha.sohldickstein.com
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.