Jon Ullman
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
@chrispeikert.bsky.social
Cryptographer (lattices/post-quantum), Professor at U-Michigan Computer Science and Engineering , Head of Cryptography Research at Algorand, PhD from MIT CSAIL. Previously faculty at Georgia Tech School of CS. Here I speak for myself.
@inbaltalgam.bsky.social
CS professor @ Tel Aviv Uni, visiting prof @ Technion. Interested in AGT, esp. algorithmic contract theory. Past: Stanford, Weizmann, Israel Supreme Court
@mkearnsphilly.bsky.social
CS prof at Penn, Amazon Scholar in AWS. Interested in ML theory and related topics, as well as photography and Gilbert and Sullivan. Website: www.cis.upenn.edu/~mkearns
@heyyjudes.bsky.social
CS PhD Student @ Stanford Data, Diversity, and Downstream Impacts https://heyyjudes.github.io
@beccawillett.bsky.social
https://willett.psd.uchicago.edu/ Worah Family Professor, University of Chicago National Institute for Theory and Mathematics in Biology (https://www.nitmb.org/) Institute for AI in the Sky (SkAI, https://skai-institute.org/)
@djain.bsky.social
HCI Assistant Professor at UMich researching accessibility, audio AI, sound interaction, XR, and health. Director, Soundability Lab. Previously, Google, Apple, Microsoft, UW, and MIT Media Lab. https://dhruv-jain.com
@lorisdanto.bsky.social
Professor @ucsd & Visiting Academic @AWScloud. Helps people write code they can trust
@froystig.bsky.social
research scientist at google deepmind. co-author of JAX (https://github.com/jax-ml/jax) https://cs.stanford.edu/~rfrostig
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
@mahdihaghifam.bsky.social
Researcher in ML and Privacy. Distinguished Postdoc at Khoury College Northeastern. PhD @UofT & @VectorInst. previously Research Intern @Google and @ServiceNowRSRCH https://mhaghifam.github.io/mahdihaghifam/
@stefanotessaro.bsky.social
Professor at the University of Washington, Paul G. Allen School of Computer Science & Engineering @uwcse.bsky.social Working on cryptography, theoretical computer science, and computer security. https://homes.cs.washington.edu/~tessaro/
@tdietterich.bsky.social
Safe and robust AI/ML, computational sustainability. Former President AAAI and IMLS. Distinguished Professor Emeritus, Oregon State University. https://web.engr.oregonstate.edu/~tgd/
@beenwrekt.bsky.social
Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/
@idanattias.bsky.social
Postdoc researcher at IDEAL Institute in Chicago, hosted by UIC and TTIC. My research interests are in machine learning theory, data-driven sequential decision-making, and theoretical computer science. https://www.idanattias.com/
@jennwv.bsky.social
Sr. Principal Researcher at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // More at http://jennwv.com
@zacharylipton.bsky.social
CTO & Chief Scientific Officer @ Abridge, CMU ML prof, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
@mraginsky.bsky.social
web: http://maxim.ece.illinois.edu substack: https://realizable.substack.com
@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
@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.
@idillig.bsky.social
CS professor at UT Austin, does research in programming languages & formal methods.
@kasperglarsen.bsky.social
Professor and Head of Algorithms, Data Structures and Foundations of Machine Learning at Computer Science, Aarhus University
@rasmuspagh.net
Professor of computer science at University of Copenhagen. Interested in random things & their application (especially to algorithms and privacy). rasmuspagh.net
@weratedogs.com
Your Only Source For Professional Dog Ratings nonprofit: @15outof10.org ❤️🩹 links.weratedogs.com
@differentialprivacy.org
🤖 new arXiv preprints mentioning "differential privacy" or "differentially private" in the title/abstract/metadata + updates from https://differentialprivacy.org [Under construction.]
@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.
@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
@yvesalexandre.bsky.social
Associate Professor of Applied Mathematics and CS at Imperial College London (🇬🇧). MIT PhD. I'm working on automated privacy attacks, LLM memorization, and AI Safety. Road cyclist 🚴 and former EU Special Adviser (🇪🇺).
@preetumnakkiran.bsky.social
ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org
@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/
@michal-feldman.bsky.social
Professor of Computer Science, @TelAvivUni | @ACM SIGECOM Chair | Research areas: Econ&CS, Algorithmic Game Theory, Market Design
@praveshkkothari.bsky.social
Assistant Professor @PrincetonCS Research: Theoretical Computer Science, Optimization, Algorithmic Statistics.
@ncollina.bsky.social
Penn CS PhD student and IBM PhD Fellow studying strategic algorithmic interaction. Calibration, commitment, collusion, collaboration. She/her. Nataliecollina.com
@jessicahullman.bsky.social
Ginni Rometty Prof @NorthwesternCS | Fellow @NU_IPR | Uncertainty + decisions | Humans + AI/ML | Blog @statmodeling
@randomwalker.bsky.social
Princeton computer science prof. I write about the societal impact of AI, tech ethics, & social media platforms. https://www.cs.princeton.edu/~arvindn/ BOOK: AI Snake Oil. https://www.aisnakeoil.com/
@gkatzelis.bsky.social
Associate professor of Computer Science at Drexel University. Interested in mechanism design, game theory, algorithms, fair division. https://www.cs.drexel.edu/~gkatz/
@gavin-brown.bsky.social
Postdoc at UW CSE. Differential privacy, memorization in ML, and learning theory.
@focs2025.bsky.social
Official account for the 2025 IEEE Symposium on Foundations of Computer Science (FOCS), to be held in Sydney, Australia, Dec 14-17, 2025.