@melaniemitchell.bsky.social

Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems. Website: https://melaniemitchell.me Substack: https://aiguide.substack.com/

@ellisinstitute.fi

A world-class research hub in AI and machine learning, in partnership with universities, RDI organizations and businesses in Finland. We are the 2nd institute in the @ellis.eu network. 🔗 ellisinstitute.fi

@berkerdemirel.bsky.social

PhD Candidate in Computer Science at IST Austria Working on Computer Vision and Deep Learning

@egorzverev.bsky.social

ml safety researcher | doing phd @ISTA | prev. @phystech | prev. developer @GSOC | love poetry

@tomscott.com

I make things. They’ll probably come back to haunt me in a few years’ time. https://www.tomscott.com/

@garybrannan.bsky.social

Apparently, everybody's favourite. Him off Tech Diff. The begrudging second coming of Harry Secombe. Strong wahey energy. Funniest British Man (TM).

@arthurgretton.bsky.social

@xkcd.com

@techemails.bsky.social

Internal tech industry emails that surface in public records. 🔍 https://techemails.com

@locatelf.bsky.social

Assistant Prof at ISTA - Causal Learning and AI Lab

@hosseinz.bsky.social

PhD candidate in ML at ISTA

@thegruel.bsky.social

Private account, where I stay in touch with friends and the latest memes. For my research, go to @MLCV-at-ISTA.bsky.social

@ellis.eu

Strengthening Europe's Leadership in AI through Research Excellence | ellis.eu

@mlcv-at-ista.bsky.social

Professor at ISTA (Institute of Science and Technology Austria), heading the Machine Learning and Computer Vision group. We work on Trustworthy ML (robustness, fairness, privacy) and transfer learning (continual, meta, lifelong). 🔗 https://cvml.ist.ac.at

@neu-rips.bsky.social

full-time ML theory nerd, part-time AI-non enthusiast

@thejonullman.bsky.social

Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.

@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.

@thesasho.bsky.social

Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.

@nandofioretto.bsky.social

Assistant Professor of Computer Science at the University of Virginia. I work on Responsible AI (differential privacy & fairness) and machine learning for science and engineering (differentiable optimization) | http://nandofioretto.github.io

@adamsmith.xyz

Professor of computer science at Boston University. Not related to any economists, living or dead, as far as I know.

@bipr.bsky.social

ML & Privacy Prof at the University of Melbourne, Australia. Deputy Dean Research. Prev Microsoft Research, Berkeley EECS PhD. @bipr on the X bird site. He/him.

@ahonkela.bsky.social

Prof of machine learning at University of Helsinki. Interested in (differential) privacy and open source software.

@jubaz.bsky.social

Assistant professor at Georgia Tech in ISyE. I do mechanism design, differential privacy, fairness, and learning theory, mostly. Postdoc @Penn; Ph.D. @Caltech; MSc @Columbia and @Supélec. He/him.

@differentialprivacy.org

🤖 new arXiv preprints mentioning "differential privacy" or "differentially private" in the title/abstract/metadata + updates from https://differentialprivacy.org [Under construction.]

@vsergei.bsky.social

Algorithms, predictions, privacy. https://theory.stanford.edu/~sergei/

@ktalwar.bsky.social

Differential Privacy. Machine Learning. Apple.

@amartyasanyal.bsky.social

Assistant Professor @Dept. Of Computer Science, University of Copenhagen, Ex Postdoc @MPI-IS, ETHZ, PhD @University of Oxford, B.Tech @CSE,IITK.

@gavin-brown.bsky.social

Postdoc at UW CSE. Differential privacy, memorization in ML, and learning theory.

@floriantramer.bsky.social

Assistant professor of computer science at ETH Zürich. Interested in Security, Privacy and Machine Learning. https://floriantramer.com https://spylab.ai

@rasmuspagh.net

Professor of computer science at University of Copenhagen. Interested in random things & their application (especially to algorithms and privacy). rasmuspagh.net

@aloni-bologna.bsky.social

@jelaninelson.bsky.social

Professor and Chair of Computer Science Division, UC Berkeley EECS. Research Scientist (part-time) at Google. Founder, AddisCoder. 🇻🇮🇺🇸🇪🇹

@mdinitz.bsky.social

Associate Professor, Department of Computer Science, Johns Hopkins University. https://www.cs.jhu.edu/~mdinitz/

@edwardraffml.bsky.social

Director of Emerging AI @BoozAllen, Visiting Prof @UMBC. Interested in all things ML

@mhenzinger.bsky.social

Professor Institute of Science and Technology Austria

@christianlebeda.bsky.social

@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/

@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

@stein.ke

Computer science, math, machine learning, (differential) privacy Researcher at Google DeepMind Kiwi🇳🇿 in California🇺🇸 http://stein.ke/

@bsky.app

official Bluesky account (check username👆) Bugs, feature requests, feedback: [email protected]