ML Engineer at NVIDIA. Previously: Stealth GPU startup; Stability AI; AMD; Autodesk; CEO of 2 startups (3D + AI). Toronto, Canada
Software @ Apple AIML, previously Hugging Face
💛 Svelte, FOSS, 3D printing, DIY electronics & cooking
nsarrazin.com
PhD Student
@tum-aim-lab.bsky.social @hpi.bsky.social
🇪🇺
Offizieller Account der Universität München
Geschwister-Scholl-Platz 1, 80539 München
Impressum: www.lmu.de/de/footer/impressum/index.html
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Founder of @zensical.org, creator of Material for MkDocs
Building personalized Bluesky feeds for academics! Pin Paper Skygest, which serves posts about papers from accounts you're following: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest. By @sjgreenwood.bsky.social and @nkgarg.bsky.social
Research Lead @parameterlab.bsky.social working on Trustworthy AI
Speaking 🇫🇷, English and 🇨🇱 Spanish | Living in Tübingen 🇩🇪 | he/him
https://gubri.eu
Empowering individuals and organisations to safely use foundational AI models.
https://parameterlab.de
Professor of Technology and Regulation, Oxford Internet Institute, University of Oxford https://tinyurl.com/3rkmbmsf
Humboldt Professor of Technology & Regulation, Hasso Plattner Institute https://tinyurl.com/47rkrt6c
Governance of Emerging Technologies
Research scientist at Meta on the llama team
Thinking about language models
Past: PhD at NYU, fellow at Harvard’s Kempner Institute
PostDoc at the Medical University of Innsbruck in the Digital Cardiology Lab. Prev Uni of Oxford DPhil.
Making data & AI work for people & society.
Sign up for our fortnightly newsletter: https://adalovelaceinstitute.org//newsletter-subscribe
Professor Oxford in Machine Learning
Involved in many start ups including FiveAI, Onfido, Oxsight, AIStetic. Eigent, etc
I occasionally look here but am mostly on linkedin, find me there, www.linkedin.com/in/philip-torr-1085702
UK AI Security Institute
Former Ada Lovelace Institute, Google, DeepMind, OII
Academy 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.
Web page https://users.aalto.fi/~ave/
Medical vision-language, interp @ Univ of Oxford & Memorial Sloan Kettering Cancer Center
ELLIS & IMPRS-IS PhD Student at the University of Tübingen.
Excited about uncertainty quantification, weight spaces, and deep learning theory.
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
Chief Scientist at the UK AI Security Institute (AISI). Previously DeepMind, OpenAI, Google Brain, etc.
Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2026. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com
how shall we live together?
societal impacts researcher at Anthropic
saffronhuang.com
DPhil student in the Mommersteeg Group #cavefish #heartregeneration @UniofOxford | alum @ElitasLab @sabanciuni
I love/ teach chemistry 🐟🧪🫀
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.
Research Scientist at Apple for uncertainty quantification.
Menswear writer. Editor at Put This On. Words at The New York Times, The Washington Post, The Financial Times, Esquire, and Mr. Porter.
If you have a style question, search:
https://dieworkwear.com/ | https://putthison.com/start-here/
Economist and professor at LSE. “Posting through it."
Ricardo Professor of Political Economy, @EconUCL http://ucl.ac.uk/~uctp39a/
Co-Director ESRC Research Centre, @TheIFS http://ifs.org.uk/inequality/
MIT Robert M. Solow Professor of Economics | Macro, International, Public, Monetary, Taxes, Finance | v = u + β v | Beatles | Boston | Argentina | Patagonia
Economics professor at UC Berkeley.
https://eml.berkeley.edu/~jsteinsson/
Institute Professor, MIT Economics. Co-Director of @mitshapingwork.bsky.social. Author of Why Nations Fail, The Narrow Corridor, and Power & Progress.
DPhil Student at University of Oxford/Torr Vision Group
Fresh DPhil from @oxfordtvg.bsky.social
Working on low-latency/low-resource AI
Neuroscience wannabe
https://botcs.github.io/
AI security and safety: privacy, robustness, synthetic data, agents.
Email: fpinto1@uchicago.edu
Welcome to our official account 👋 Follow for the latest news, research and updates about life at Oxford.
Exploring how technology is transforming the way we live, work and govern.
Postdoctoral Researcher @ Bethgelab, University of Tübingen
Benchmarking | LLM Agents | Data-Centric ML | Continual Learning | Unlearning
drimpossible.github.io
PhD student at Oxford working on controllable video generation
Let's build AI's we can trust!
Torr Vision Group (TVG) In Oxford @ox.ac.uk
We work on Computer Vision, Machine Learning, AI Safety and much more
Learn more about us at: https://torrvision.com
Research Scientist @GoogleDeepMind | Organiser @DeepIndaba | Machine Learning PhD @CambridgeMLG | 🇿🇦
ML researcher @ University of Oxford
Professor of Neuroimaging Statistics
Oxford Big Data Institute
Nuffield Department of Population Health
University of Oxford
Professor of Statistics and Machine Learning at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Founding chairman of www.publichealthactionnetwork.org
Working towards the safe development of AI for the benefit of all at Université de Montréal, LawZero and Mila.
A.M. Turing Award Recipient and most-cited AI researcher.
https://lawzero.org/en
https://yoshuabengio.org/profile/
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
Research scientist, Inria. Statistical machine learning.
Professor of Statistics, Bayesian, computational systems biologist and functional programmer, https://darrenjw.github.io/
Gradient surfer at UCL. FR, EN, also trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦. Also on Twitter.
Amortized Bayesian Workflows in Python.
🎲 Post author sampled from a multinomial distribution, choices
⋅ @marvin-schmitt.com
⋅ @paulbuerkner.com
⋅ @stefanradev.bsky.social
🔗 GitHub github.com/bayesflow-org/bayesflow
💬 Forum discuss.bayesflow.org
As a hub for artificial intelligence, the EPFL AI Center leverages the extensive expertise of faculty and researchers across the Institution. It fosters a collaborative environment that nurtures multidisciplinary AI research, education, and innovation.
Postdoctoral Research Scientist in Statistics at Columbia University
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
Secular Bayesian.
Professor of Machine Learning at Cambridge Computer Lab
Talent aficionado at http://airetreat.org
Alum of Twitter, Magic Pony and Balderton Capital
The AI developer platform.
ML/AI researcher & former stats professor turned LLM research engineer. Author of "Build a Large Language Model From Scratch" (https://amzn.to/4fqvn0D) & reasoning (https://mng.bz/Nwr7).
Also blogging about AI research at magazine.sebastianraschka.com.
AI + security at AISLE | Stanford PhD in AI & Cambridge physics | scientific progress
Professor, Programmer in NYC.
Cornell, Hugging Face 🤗
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
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
Chief AI Scientist at Databricks. Founding team at MosaicML. MIT/Princeton alum. Lottery ticket enthusiast. Working on data intelligence.
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
Research Scientist Meta/FAIR, Prof. University of Geneva, co-founder Neural Concept SA. I like reality.
https://fleuret.org
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
Building Mirelo AI -- a startup around foundational music models. We are hiring!
Before: AWS AI, Google Brain. PhD from HU Berlin.
Machine Learning researcher at @Xaira_Thera (former @CambridgeEllis and @OxCSML) opinions expressed are my own.
Computer science, math, machine learning, (differential) privacy
Researcher at Google DeepMind
Kiwi🇳🇿 in California🇺🇸
http://stein.ke/
Research at Google DeepMind. Ex-Physicist. Controllable World Simulators (GNNs, Structured World Models, Neural Assets). TLM Veo Capabilities (Ingredients & more).
📍 San Francisco, CA
Statistics. Computing. Cancer Epidemiology. Public health.
Mathematics professor at Collège de France and fellow of Trinity College Cambridge.
ML @ NannyML. Writing “The Little Book of ML Metrics” https://www.nannyml.com/metrics?via=santiago
Personal website: https://www.santiviquez.com
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science.
www.dianacai.com
Machine Learning Professor
https://cims.nyu.edu/~andrewgw
Research Scientist @ Google DeepMind, in open-ended learning, and AI for Scientific Discovery.
Strengthening Europe's Leadership in AI through Research Excellence | ellis.eu
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him).
Homepage: https://sites.google.com/view/sp-monte-carlo
Seminar: https://sites.google.com/view/monte-carlo-semina
We're the Department of Statistics at the University of Oxford (UK). We provide teaching & complete research on computational statistics and statistical methodology, probability, bioinformatics and mathematical genetics.
https://www.stats.ox.ac.uk/
Founded in 1314, friendly and inclusive Exeter College lies at the heart of Oxford, supporting students and fostering academic excellence for over 700 years.
https://linktr.ee/exetercollegeoxford
DeepMind Professor of AI @Oxford
Scientific Director @Aithyra
Chief Scientist @VantAI
ML Lead @ProjectCETI
geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
⛵️ Research Resident @ Midjourney
🇪🇺 Member @ellis.eu
🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence
🎓 PhD+MSc Computer Science, MSc Psychology
🏡 https://marvin-schmitt.com
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
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
ELLIS PhD student at the University of Edinburgh
https://lenazellinger.github.io/
Asst prof @ University of Utah · NLP · she/her 🇭🇷
