@fcalmon.bsky.social
Associate Professor @Harvard SEAS. Information theorist, but only asymptotically.
@sbubeck.bsky.social
I work on AI at OpenAI. Former VP AI and Distinguished Scientist at Microsoft.
@schwarzjn.bsky.social
Foundational Research Lead @ Thomson Reuters | Advisor @ UK AISI | ex- Fellow @ Harvard, ex- Senior RS @ GoogleDeepMind | PhD @ UCL / Gatsby Unit 🇬🇧🇩🇪🇺🇲🇭🇰 https://jonathan-schwarz.github.io/
@yoshuabengio.bsky.social
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/
@rachel-law.bsky.social
Organic machine turning tea into theorems ☕️ AI @ Microsoft Research ➡️ Goal: Teach models (and humans) to reason better Let’s connect re: AI for social good, graphs & network dynamics, discrete math, logic 🧩, 🥾,🎨 Organizing for democracy.🗽 www.rlaw.me
@mahdi.ch
Theoretical Computer Science professor @ U. of Michigan-Ann Arbor. Opinions are mine and may evolve over time. repost ≠ endorsement. Policy: I don't interact with anonymous profiles. Join AAUP. he/him/his.
@claireve.bsky.social
Group Leader in Tübingen, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
@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.
@andrea-montanari.bsky.social
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
@mraginsky.bsky.social
web: http://maxim.ece.illinois.edu substack: https://realizable.substack.com
@thegradient.bsky.social
Senior Research Scientist at Google DeepMind. I ∈ Optimization ∩ Machine Learning. Fan of IronMaiden🤘.Here to discuss research 🤓
@alexdimakis.bsky.social
UC Berkeley Professor working on AI. Co-Director: National AI Institute on the Foundations of Machine Learning (IFML). http://BespokeLabs.ai cofounder
@docmilanfar.bsky.social
Distinguished Scientist at Google. Computational Imaging, Machine Learning, and Vision. Posts are personal opinions. May change or disappear over time. http://milanfar.org
@berivanisik.bsky.social
Research scientist at Google. PhD from Stanford. Efficient and trustworthy AI, LLMs, and Gemini data & evaluation. https://sites.google.com/view/berivanisik
@andrejristeski.bsky.social
Machine learning researcher. Professor in ML department at CMU.
@djfoster.bsky.social
Principal Researcher in AI/ML/RL Theory @ Microsoft Research NE/NYC. Previously @ MIT, Cornell. http://dylanfoster.net RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
@mahdisoltan.bsky.social
work on theoretical foundations of AI, MLLM reliability/Eval, optimization, high dimensional probability/statistics, AI for science/healthcare; director of center on AIF4S @USC 🚲🏔️🥾🏊♂️
@abeirami.bsky.social
Powering the world with AI agents | ex-{Google DeepMind / Google Research, Meta, EA, MIT, Harvard, Duke} | Georgia Tech PhD | زن زندگی آزادی | opinions my own 📍{NYC, YYZ} 🔗 https://beirami.github.io/
@differentialprivacy.org
🤖 new arXiv preprints mentioning "differential privacy" or "differentially private" in the title/abstract/metadata + updates from https://differentialprivacy.org [Under construction.]
@thesasho.bsky.social
Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
@zstevenwu.bsky.social
Computer science professor at Carnegie Mellon. Researcher in machine learning. Algorithmic foundations of responsible AI (e.g., privacy, uncertainty quantification), interactive learning (e.g., RLHF). https://zstevenwu.com/
@ccanonne.github.io
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
@stein.ke
Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/
@thejonullman.bsky.social
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
@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
@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
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: [email protected]