"Online Rent-a-Sage" Bret Devereaux @bretdevereaux.bsky.social Ancient & military historian specializing in the Roman economy and military. PhD from UNC History. More impressive credential is that I have beaten both Dark Souls and Elden Ring.
Blogs at acoup.blog
CSML IIT Lab @pontilgroup.bsky.social Computational Statistics and Machine Learning (CSML) Lab | PI: Massimiliano Pontil | Webpage: csml.iit.it | Active research lines: Learning theory, ML for dynamical systems, ML for science, and optimization.
Steven Wu @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., imitation/reinforcement learning).
https://zstevenwu.com/
Gavin Brown @gavin-brown.bsky.social Postdoc at UW CSE. Differential privacy, memorization in ML, and learning theory.
Gautam Kamath @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 2026. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com
Jess Sorrell @optimistsinc.bsky.social Assistant prof at JHU CS. Interested in theory of ML, privacy, cryptography. All cat pictures my own and do not represent the cats of my employer
Clément Canonne @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.
Nando Fioretto @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
Juba Ziani @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.
Amartya Sanyal @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.
Kunal Talwar @ktalwar.bsky.social Differential Privacy. Machine Learning. Apple.
Aditya Hegde @adishegde.bsky.social Cryptography | PhD student at Johns Hopkins University | adishegde.github.io
@floriantramer.bsky.social @floriantramer.bsky.social Assistant professor of computer science at ETH Zürich. Interested in Security, Privacy and Machine Learning.
https://floriantramer.com
https://spylab.ai
Krithika Ramesh @stolenpyjak.bsky.social (she/her)
¯\_(ツ)_/¯
PhD student @jhuclsp
Maksym Andriushchenko @maksym-andr.bsky.social Faculty at the ELLIS Institute Tübingen and Max Planck Institute for Intelligent Systems. Leading the AI Safety and Alignment group. PhD from EPFL supported by Google & OpenPhil PhD fellowships.
More details: https://www.andriushchenko.me/
Berivan Isik @berivanisik.bsky.social Research scientist at Google DeepMind. PhD from Stanford. GenAI, Gemini data & evaluation.
https://sites.google.com/view/berivanisik
Simson Garfinkel @simson.net Dr. Simson Garfinkel researches and writes at the intersection of AI, privacy, and digital forensics. He is a fellow of the AAAS, the ACM and the IEEE. He earned his PhD in Computer Science at MIT and a Master of Science in Journalism at Columbia.
Daniel Paleka @dpaleka.bsky.social ai safety researcher | phd ETH Zurich | https://danielpaleka.com
Thomas Schneider @thoschneider.bsky.social https://www.thoschneider.de
ENCRYPTO Group @encrypto-group.bsky.social We are the Cryptography and Privacy Engineering Group (ENCRYPTO) at TU Damstadt. Our mission is to demonstrate that privacy can be efficiently protected in real-world applications.
Jeremy Kun @jeremykun.com Portland-based mathematician and software engineer. Building a homomorphic encryption compiler at Google.
https://jeremykun.com/linkgraph
https://heir.dev
Gergely Acs @gergelyacs.bsky.social 
Ted @desfontain.es A little pinch of randomness here and there and poof, your data is now protected. Magic! ✨
(I don't read DMs. Send me an email instead.)
🌉 bridged from ⁂ https://hachyderm.io/@tedted, follow @ap.brid.gy to interact
Ben Rubinstein @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.
Antti Honkela @ahonkela.bsky.social Prof of machine learning at University of Helsinki. Interested in (differential) privacy and open source software.
Jon Ullman @thejonullman.bsky.social Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
Sasho Nikolov @thesasho.bsky.social Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, optimization.
Sikata Sengupta @sikatasengupta.bsky.social cs phd @upenn advised by Michael Kearns, Aaron Roth, and Duncan Watts| previously @stanford | she/her
https://psamathe50.github.io/sikatasengupta/
Aaron Roth @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
Thomas Steinke @stein.ke Researcher in computer science, math, machine learning, (differential) privacy, AI, etc. at Anthropic.
Kiwi🇳🇿 in California🇺🇸
http://stein.ke/