@mmitchell.bsky.social
Researcher trying to shape AI towards positive outcomes. ML & Ethics +birds. Generally trying to do the right thing. TIME 100 | TED speaker | Senate testimony provider | Navigating public life as a recluse. Former: Google, Microsoft; Current: Hugging Face
@adalovelaceinst.bsky.social
Making data & AI work for people & society. Sign up for our fortnightly newsletter: https://nuffieldfoundation.tfaforms.net/149
@randomwalker.bsky.social
Princeton computer science prof. I write about the societal impact of AI, tech ethics, & social media platforms. https://www.cs.princeton.edu/~arvindn/ BOOK: AI Snake Oil. https://www.aisnakeoil.com/
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@joavanschoren.bsky.social
Building AI systems that learn how to learn, grow and adapt continuously, and push humanity forward. Continual learning, meta-learning, open-endedness. Group Lead at TU Eindhoven, Founder of OpenML, NeurIPS D&B Track.
@danielskatz.org
Chief Scientist @ NCSA, Res. Assoc. Prof. @ SCDS & iSchool, @ U Illinois Urbana-Champaign He/him Works on: computational & data science: software opensource systems tools policy practices scholcomm FAIR RSE more active on: @danielskatz@fediscience.org
@mariaa.bsky.social
Postdoc at the Pioneer Centre for AI in Copenhagen, soon-to-be Assistant Professor of Computer Science at CU Boulder 👩💻 NLP, cultural analytics, online communities, narratives, healthcare 🌐 https://maria-antoniak.github.io
@madesai.bsky.social
PhD student at University of Michigan School of Information. Data and evaluation for language models / language models as cultural technologies. https://meera-desai.com
@aial.ie
Trinity College Dublin’s Artificial Intelligence Accountability Lab (https://aial.ie/) is founded & led by Dr Abeba Birhane. The lab studies AI technologies & their downstream societal impact with the aim of fostering a greater ecology of AI accountability
@abeba.bsky.social
Founder & PI @aial.ie, @tcddublin.bsky.social AI accountability, AI audits & evaluation, critical data studies. Cognitive scientist by training. Ethiopian in Ireland. She/her
@catrinahacker.bsky.social
Neuroscience PhD candidate at the University of Pennsylvania and sci-comm enthusiast interested in brains 🧠 and models of them 💻. Website: catrinahacker.com
@minecr.bsky.social
she/her professor at duke university + developer educator at posit cat videos = instant smiles https://mine-cr.com https://fosstodon.org/@minecr
@posit.co
We make free, open-source software for data scientists like the RStudio IDE. We're formerly known as RStudio. You can always download our open-source IDE here. https://posit.co/download/rstudio-desktop/
@stephaniehicks.bsky.social
Associate Professor of Biostatistics and Biomedical Engineering at Johns Hopkins. stephaniehicks.com
@vmminin.bsky.social
grew up as a human in Ukraine, grew up as a scientist in USA | stochastic processes | statistical modeling | infectious disease dynamics | phylogenetics | systems biology | DEI in STEM/Statistics | faculty @ucirvine.bsky.social http://vnminin.github.io
@ucirvine.bsky.social
Official account of the University of California, Irvine. 🐜🍽💙💛 #UCIPride
@minedogucu.com
minedogucu.com • teaching stats & data science by day • reading and writing stories by night • she/they/o/او • views my own • datapedagogy.com • bayesrulesbook.com • posts mostly about data science and education but also life things • 📍 Los Angeles
@kldivergence.bsky.social
Research Scientist at GDM. Statistician. Mostly work on Responsible AI. Academia-industry flip-flopper.
@emilymbender.bsky.social
Book: https://thecon.ai Web: https://faculty.washington.edu/ebender
@sameer-singh.bsky.social
CS Prof at UC Irvine, CTO/Cofounder at Spiffy AI Work on evaluation and robustness of LLMs
@randomlywalking.bsky.social
Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
@yisongyue.bsky.social
AI professor at Caltech. General Chair ICLR 2025. http://www.yisongyue.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
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@avehtari.bsky.social
Professor in computational Bayesian modeling at Aalto University, Finland. Bayesian Data Analysis 3rd ed, Regression and Other Stories, and Active Statistics co-author. #mcmc_stan and #arviz developer. Also in Mastodon: https://bayes.club/@avehtari
@maosbot.bsky.social
Parent, spouse, Australian, cyclist, Professor of Machine Learning in Oxford. Bayesian ML, Long Covid, photos of dog, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb
@jennwv.bsky.social
Sr. Principal Researcher 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 // More at http://jennwv.com
@zacharylipton.bsky.social
CTO & Chief Scientific Officer @ Abridge, CMU ML prof, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
@neuripsconf.bsky.social
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15. https://neurips.cc/
@soldaini.net
I like tokens! Lead for OLMo data at @ai2.bsky.social (Dolma 🍇) w @kylelo.bsky.social. Open source is fun 🤖☕️🍕🏳️🌈 Opinions are sampled from my own stochastic parrot more at https://soldaini.net
@jacobeisenstein.bsky.social
natural language processing and computational linguistics at google deepmind.
@jugander.bsky.social
Associate Professor, Stanford MS&E. Visiting Yale FDS '24-'25. Social networks, social and behavioral data, causal inference, mountains. www.stanford.edu/~jugander/
@bleilab.bsky.social
Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems. 🔗 https://www.cs.columbia.edu/~blei/ 🔗 https://github.com/blei-lab
@shakirm.bsky.social
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
@karen-ullrich.bsky.social
Research scientist at FAIR NY ❤️ Machine Learning + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com
@lawrennd.bsky.social
Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
@willieneis.bsky.social
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs. https://willieneis.github.io
@taco-cohen.bsky.social
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
@lacerbi.bsky.social
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
@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)
@vincefort.bsky.social
PI at Helmholtz AI, Faculty at TU Munich, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar. Prev: Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research. https://fortuin.github.io/
@jmtomczak.bsky.social
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions