Hauke Sandhaus @sandhaus.bsky.social http://hauke.haus
Information Science PhD candidate advised by Helen Nissenbaum, Wendy Ju and Qian Yang. Creator of http://brightpatterns.org
Deepak Narayanan @deepaknaray12.bsky.social PhD Student at ETH Zurich
@eth-ai-center.bsky.social @eth-ai-center.bsky.social Welcome to ETH AI Center! We are ethz.ch/en 's central hub leading the way towards trustworthy, accessible and inclusive #artificialintelligence
ai.ethz.ch
Sébastien Darses @sebdarses.bsky.social Math Assoc. Prof. (on leave from France)
Research: Prob / Stat / Ant
Teaching Project (non-profit): https://highcolle.com/
https://sites.google.com/view/sebastien-darses/research?authuser=0
Surbhi Goel @surbhigoel.bsky.social Assistant Prof at Penn CIS | Postdoc at Microsoft Research | PhD from UT Austin CS | Co-founder LeT-All
@wuhao-wu-jiang.bsky.social @wuhao-wu-jiang.bsky.social
@dvankov.bsky.social @dvankov.bsky.social
Thomas Ahle @thomasahle.bsky.social Head of AI @ NormalComputing. Tweets on Math, AI, Chess, Probability, ML, Algorithms and Randomness. Author of tensorcookbook.com
Parsa Mirtaheri @parsamir.bsky.social phd student @ucsd
Yatin Dandi @dandiyatin.bsky.social PhD student (EPFL, Switzerland), working on the theory of deep learning and statistical physics of computation.
https://yatindandi.github.io/
Mahdi Haghifam @mahdihaghifam.bsky.social Researcher in ML and Privacy.
PhD @UofT & @VectorInst. previously Research Intern @Google and @ServiceNowRSRCH
https://mhaghifam.github.io/mahdihaghifam/
@hongjiechen.bsky.social @hongjiechen.bsky.social
Alex Damian @adamian.bsky.social
Sourav Sahoo @sourav22899.bsky.social PhD Student at MIT. Previously, EE undergrad at IIT Madras. Interested in online learning, auctions, and mechanism design.
sourav22899.github.io
Rares Buhai @raresbuhai.bsky.social postdoc at EPFL. raresbuhai.com.
Marcel Hussing @marcelhussing.bsky.social PhD student at the University of Pennsylvania. Prev, intern at MSR, and Meta FAIR. Interested in reliable and replicable reinforcement learning, robotics and knowledge discovery: https://marcelhussing.github.io/
All posts are my own.
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/
Joey Rudoler @jrudoler.bsky.social wharton stats phd — ml theory, ml for science
prev: comp neuro, data, physics
working with Edgar Dobriban and Konrad Körding
also some sports (esp. philly! go birds)
Bryan Chan @chanpyb.bsky.social PhD student at University of Alberta. Interested in reinforcement learning, imitation learning, machine learning theory, and robotics
https://chanb.github.io/
Natalie Collina @ncollina.bsky.social CS PhD student at UPenn studying strategic human-AI interaction. Nataliecollina.com
Francesco Tudisco @ftudisco.bsky.social Machine Learning @ University of Edinburgh | AI4Science | optimization | numerics | networks | co-founder @ labs.miniml.ai | ftudisco.gitlab.io
Kimon Fountoulakis @kfountou.bsky.social Associate Professor at CS UWaterloo
Machine Learning
Lab: opallab.ca
Gokul Swamy @gokul.dev PhD student at @cmurobotics.bsky.social working on efficient algorithms for interactive learning (e.g. imitation / RL / RLHF). no model is an island. prefers email. https://gokul.dev/. on the job market!
Antoine Moulin @antoine-mln.bsky.social doing a phd in RL/online learning on questions related to exploration and adaptivity
> https://antoine-moulin.github.io/
Vincent Fortuin @vincefort.eurosky.social Prof at TU Nuremberg, PI at Helmholtz AI, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar.
Prev: TUM, Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research.
https://fortuin.github.io/
Ioannis Kontoyiannis @kontoyiannis.bsky.social Information theory, probability, statistics. Churchill Professor of Mathematics of Information @UofCambridge: dpmms.cam.ac.uk/person/ik355/ 🧮 #MathSky 🧪 #Science
[used to be @yiannis_entropy at the other place]
Dan Roy @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.
Gintare Karolina Dziugaite @gkdziugaite.bsky.social Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
Dylan Foster 🐢 @djfoster.bsky.social Incoming Assistant Professor in EECS and Statistics at UC Berkeley.
Principal Researcher @ Microsoft Research NE/NYC. Previously @ MIT, Cornell.
AI + RL Foundations. RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
http://dylanfoster.net
Kira Goldner @kiragoldner.bsky.social Assistant Professor at BU CDS
EconCS | Theory of CS | MD+AI+DS4SG | MD4SG co-founder
Previously Columbia, UW, Oberlin. Views are mine alone.
www.kiragoldner.com
Sophie Huiberts @sophie.huiberts.me CNRS researcher in linear programming
𝖬𝖺𝗁𝖽𝗂 𝖢𝗁𝖾𝗋𝖺𝗀𝗁𝖼𝗁𝗂 @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.
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
Anupam Gupta @anupamg.bsky.social Professor, Computer Science, New York University. Interested in Algorithms.
Henry Yuen @henryyuen.bsky.social Complexity, in all its forms.
Associate Professor of Computer Science at Columbia University.
http://www.henryyuen.net
Jason Hartline @jasonhartline.bsky.social Professor at Northwestern CS. Economics, by courtesy. Study mechanism design, economics of algorithms, regulation of algorithms, AI and society. My opinions. virtualchair.net, socialcal.org, pubchat.org, https://sites.northwestern.edu/hartline/
Lance Fortnow @lance.fortnow.com Complexity Theorist
Ryan Williams @rrwilliams.bsky.social professor of EECS at MIT. working in theoretical computer science namely algorithm design, complexity theory, circuit complexity, etc.
i'll let you know when P != NP is proved (and when it's not)
Thatchaphol Saranurak @eigx.bsky.social Assistant Professor at the University of Michigan.
I design fast graph algorithms in dynamic/distributed/local settings.
https://sites.google.com/site/thsaranurak/
Federico Adolfi @fedeadolfi.bsky.social Computation & Complexity | AI Interpretability | Meta-theory | Computational Cognitive Science
Max Planck Institute ESI.
Dept. of Computer Science & Mathematics,
Goethe University Frankfurt.
https://fedeadolfi.github.io
On the job market!
Suresh Venkatasubramanian @geomblog.bsky.social Director, Center for Tech Responsibility@Brown. FAccT OG. AI Bill of Rights coauthor. Former tech advisor to President Biden @WHOSTP. He/him/his. Posts my own.
Lenore Blum @lenoreblum.bsky.social Mathematician and Theoretical Computer Scientist (#mathematics, #TCS) interested in #Consciousness and #NeuroAI (#Neuroscience, #AI). Distinguished Career Prof of CS at CMU, Emerita. President, Assoc for MathConscSci (AMCS) (https://amcs-community.org)- H Pooya @hatami.bsky.social
Nadya Voronova @voronovank.bsky.social PhD student at TCS BU.
Interested in sublinear algorithms and quantum.
On the job market!
Andrea Montanari @andrea-montanari.bsky.social Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
Divyarthi Mohan @divyarthi.bsky.social Postdoctoral Research Scientist @Columbia. Previously postdoc @BU_CDS @TelAvivUni and PhD @Princeton.
https://www.divyarthimohan.com
Sahil Singla @sahilsingla81.bsky.social Faculty at Georgia Tech.
Vasilis Gkatzelis @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/
Jamie Morgenstern @jamiemmt.bsky.social CS professor at UW, research focus in theory of ML, fairness, and econCS
Greg Bodwin @gbodwin.bsky.social Associate professor at UMich. I do theoretical computer science and graph theory.
Ola Svensson @algosvensson.bsky.social Theoretical Computer Science @ EPFL
@pinkfloydie.bsky.social @pinkfloydie.bsky.social
Huck Bennett @huckbennett.bsky.social Faculty at the University of Colorado. Interested in theoretical computer science, and especially lattices. Also: mountains, running, music.
https://home.cs.colorado.edu/~hbennett/
FOCS 2026 @focs2026.bsky.social Official account for the 2026 IEEE Symposium on Foundations of Computer Science (FOCS), to be held in New York, USA, Nov 8–11, 2026.
🔗 https://focs.computer.org/
Yannai A. Gonczarowski @yannaigonch.bsky.social Faculty @ Harvard Econ + Harvard Computer Science, past: MSR HebrewU, classical (opera) singer, father of two (+a pug) | tweets my own, repost≠endorse
https://yannai.gonch.name/
Ellen Vitercik @ellen-v.bsky.social MS&E + CS assistant professor at Stanford. I study reliable AI for algorithmic reasoning, optimization, and decision-making.
https://vitercik.github.io/
Rachel Lawrence @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 🧩, 🥾,🎨, protecting democracy🗽
www.rlaw.me
Michal Feldman @michal-feldman.bsky.social Professor of Computer Science, @TelAvivUni | @ACM SIGECOM Chair | Research areas: Econ&CS, Algorithmic Game Theory, Market Design
Taylor Smith @taylorjsmith.bsky.social 🇨🇦 Theoretical computer scientist. Assistant professor at @stfx-university.bsky.social. Website: taylorjsmith.xyz.
Tom Gur @tomgur.bsky.social Professor of Computer Science at Cambridge.
Kasper Green Larsen @kasperglarsen.bsky.social Professor and Head of Algorithms, Data Structures and Foundations of Machine Learning at Computer Science, Aarhus University
Andreas Krause @arkrause.bsky.social Professor at ETH Zurich
Philipp Hennig @philipphennig.bsky.social Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
Claire Vernade @claireve.bsky.social Professor at UT Nuremberg, Germany
I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
Tim van Erven @timvanerven.nl Associate professor in machine learning at the University of Amsterdam. Topics: (online) learning theory and the mathematics of explainable AI.
www.timvanerven.nl
Theory of Interpretable AI seminar: https://tverven.github.io/tiai-seminar
Gergely Neu @neu-rips.bsky.social full-time ML theory nerd, part-time AI-non enthusiast
Francis Bach @bachfrancis.bsky.social Researcher in machine learning
Arno Solin @arnosolin.bsky.social Associate Professor in Machine Learning, Aalto University. ELLIS Scholar.
http://arno.solin.fi
Michael Bronstein @mmbronstein.bsky.social DeepMind Professor of AI @Oxford
Scientific Director @Aithyra
Chief Scientist @ProximaBio
ML Lead @ProjectCETI
geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
Maike Osborne 🏳️⚧️🏳️🌈 @maosbot.bsky.social Mother, wife, Australian, Professor of Machine Learning in Oxford. Long Covid, trans rights, music, reggae, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb. She/her
Gautam Kamath @gautamkamath.com Assistant Prof of CS at NYU Courant. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning.
http://www.gautamkamath.com
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/
Jon Ullman @thejonullman.bsky.social Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
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.
Sasho Nikolov @thesasho.bsky.social Associate professor at U of Toronto. Computer science and math research: (differentially) private data analysis, geometry, discrepancy, 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/
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
Adam Smith @adamsmith.xyz Professor of computer science at Boston University. Not related to any economists, living or dead, as far as I know.
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.
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.
Differential Privacy Papers @dppapers.bsky.social 🤖
new arXiv preprints mentioning "differential privacy" or "differentially private" in the title/abstract
- unrelated quantum/FL papers
+ updates from https://differentialprivacy.org
[Under construction.]
Sergei Vassilvitskii @vsergei.bsky.social Algorithms, predictions, privacy.
https://theory.stanford.edu/~sergei/
Kunal Talwar @ktalwar.bsky.social Differential Privacy. Machine Learning. Apple.
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.
Gavin Brown @gavin-brown.bsky.social Postdoc at UW CSE. Differential privacy, memorization in ML, and learning theory.
@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
Rasmus Pagh @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 @aloni-bologna.bsky.social
Jelani Nelson @jelaninelson.bsky.social Professor and Department Chair of Electrical Engineering and Computer Sciences, UC Berkeley. Research Scientist (part-time) at Google. Founder, AddisCoder. 🇻🇮🇺🇸🇪🇹
Michael Dinitz @mdinitz.bsky.social Associate Professor, Department of Computer Science, Johns Hopkins University.
https://www.cs.jhu.edu/~mdinitz/
@edwardraffml.bsky.social @edwardraffml.bsky.social Sr. Director @CrowdStrike. Visiting Prof @UMBC. Interested in all things ML
Bluesky @bsky.app official Bluesky account (check username👆)
Bugs, feature requests, feedback: support@bsky.app