Paul Hager
PhD student interested in benchmarking medical LLMs and understanding how to best use tabular data in deep learning.
@inference.vc
Secular Bayesian. Professor of Machine Learning at Cambridge Computer Lab Talent aficionado at http://airetreat.org Alum of Twitter, Magic Pony and Balderton Capital
@aim-lab.bsky.social
Chair for AI in Healthcare and Medicine, led by @danielrueckert.bsky.social, at TU Munich. https://aim-lab.io
@gaelvaroquaux.bsky.social
Research & code: Research director @inria ►Data, Health, & Computer science ►Python coder, (co)founder of scikit-learn, joblib, & @probabl.bsky.social ►Sometimes does art photography ►Physics PhD
@dkthomp.bsky.social
Staff writer at The Atlantic. Host of Plain English podcast. Books.
@trl-research.bsky.social
Updates on community and events, such as the TRL workshop at NeurIPS 2024 and ACL 2025. Info: https://table-representation-learning.github.io/
@aella.bsky.social
@erictopol.bsky.social
physician-scientist, author, editor https://www.scripps.edu/faculty/topol/ Ground Truths https://erictopol.substack.com SUPER AGERS https://www.simonandschuster.com/books/Super-Agers/Eric-Topol/9781668067666
@munichcenterml.bsky.social
The MCML is a joint research initiative of LMU München and TU München. It is institutionally funded by the Federal Ministry of Education and Research and the Free State of Bavaria.
@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).
@giffmana.ai
Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian. Anon feedback: https://admonymous.co/giffmana 📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
@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
@gautamkamath.com
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2025. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning. http://www.gautamkamath.com
@dlwh.bsky.social
Research Engineering Lead at @StanfordCRFM. I do NLP and foundation model things with JAX. Previously Semantic Machines, Microsoft, Berkeley, Breeze
@niloide.bsky.social
@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
@patrickkidger.bsky.social
I do SciML + open source! 🧪 ML+proteins @ http://Cradle.bio 📚 Neural ODEs: http://arxiv.org/abs/2202.02435 🤖 JAX ecosystem: http://github.com/patrick-kidger 🧑💻 Prev. Google, Oxford 📍 Zürich, Switzerland
@silas.bsky.social
Mathe Geek in AI Research | AI PhD @ Stanford | ex Jane Street, LMU Munich
@mvdw.bsky.social
Associate Professor in Machine Learning at the University of Oxford. Interested in automatic inductive bias selection using Bayesian tools.
@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
@stein.ke
Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
@francois.fleuret.org
Research Scientist Meta/FAIR, Prof. University of Geneva, co-founder Neural Concept SA. I like reality. https://fleuret.org
@jascha.sohldickstein.com
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
@danielrueckert.bsky.social
Prof at TUM and Imperial College London. Doing research on AI in healthcare and medicine
@akariasai.bsky.social
Ph.D. student at University of Washington CSE. NLP. IBM Ph.D. fellow (2022-2023). Meta student researcher (2023-) . ☕️ 🐕 🏃♀️🧗♀️🍳 I’m on academic job market this year! https://t.co/1bqn4gUpUs
@merve.bsky.social
proud mediterrenean 🧿 open-sourceress at hugging face 🤗 multimodality, zero-shot vision, vision language models, transformers
@gergely.pragmaticengineer.com
Writing The Pragmatic Engineer (@pragmaticengineer.com), the #1 technology newsletter on Substack. Author of The Software Engineer's Guidebook (engguidebook.com). Formerly at Uber, Skype, Skyscanner. More at pragmaticengineer.com
@ai2.bsky.social
Breakthrough AI to solve the world's biggest problems. › Join us: http://allenai.org/careers › Get our newsletter: https://share.hsforms.com/1uJkWs5aDRHWhiky3aHooIg3ioxm
@stanislavfort.bsky.social
AI + security | Stanford PhD in AI & Cambridge physics | techno-optimism + alignment + progress + growth | 🇺🇸🇨🇿
@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/
@randomlywalking.bsky.social
Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
@meredithmeredith.bsky.social
President of Signal, Chief Advisor to AI Now Institute
@aaroth.bsky.social
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
@kamilkazani.org
@schodani.bsky.social
Medical image analysis with generative AI and representation learning, mainly in the brain. PhD candidate @ TUM with Daniel Rueckert and Bene Wiestler.
@kreitner.bsky.social
PhD Student @ Lab for AI in Medicine at Technical University of Munich
@bernhardkainz.bsky.social
2xDad, DL practitioner, real-time computing fanatic, Prof. at AIBE, FAU Erlangen, Reader at DoC, Imperial College London, advisor at ThinkSono, former chef
@ja-schnabel.bsky.social
Prof HelmholtzMunich TUM King’s XRnostics #MICCAI2024 ML in Biomedical Imaging - posts my own linkedin.com/in/juliaschnabel
@erikjbekkers.bsky.social
AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
@dafidofff.bsky.social
PhD candidate w/ @erikjbekkers & @egavves interested in Geometric Deep Learning and Generative Modelling at @AMLab & @ellogonai github.com/Dafidofff