Conference on Secure and Trustworthy Machine Learning @satml.org IEEE Conference on Secure and Trustworthy Machine Learning
May 2027 (Reykjavik, Iceland) • #SaTML2027
@let-all.com @let-all.com
ComBayNS Workshop @combayns-workshop.bsky.social Combining Bayesian and Neural approaches for Structured Data.
ComBayNS workshop @ IJCNN 2025 Conference, Rome, June 30-July 2 2025.
Mohammad Mahdi Derakhshani @mmderakhshani.bsky.social PhD student at the University of Amsterdam | ex-intern at Microsoft Research and Samsung AI Research | Cohere For AI Community Researcher
Riccardo Valperga @rvalperga.bsky.social PhD student at UvA 🇳🇱
Taco Cohen @taco-cohen.bsky.social Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
Lenka Zdeborová @zdeborova.bsky.social Professor at EPFL. Une mathémaphysinformaticienne. Passionate mushroom hunter. Tamer of two little dragons.
Marco Cuturi @marcocuturi.bsky.social machine learning researcher @ Apple machine learning research
Charlotte Bunne @bunnech.bsky.social Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute.
www.aimm.epfl.ch
riccardo @rmassidda.it Post Doc researcher at the University of Pisa. Previously PhD student @ellis.eu.
Efstratios Gavves @egavves.bsky.social Associate Professor & Co-Founder - Dynamical Deep Learning
Roel Hulsman @roelhulsman.bsky.social PhD Candidate Causal Machine Learning @AMLab @Adyen
Ana Lučić @a-lucic.bsky.social Assistant professor at the University of Amsterdam. Previously at Microsoft Research, Partnership on AI.
Mona Schirmer @monaschir.bsky.social PhD candidate @amlab.bsky.social @ellis.eu
Probabilistic Machine Learning | Sequence Models
Kirill Neklyudov @k-neklyudov.bsky.social Assistant Professor at Mila and UdeM
https://necludov.github.io/
Michael Dorkenwald @mdorkenw.bsky.social 🇪🇺 ELLIS PhD @ University of Amsterdam
🤖 Vision-Language, Video Learning, SSL
🏡 www.mdorkenwald.com
David Holzmüller @dholzmueller.bsky.social Postdoc in machine learning with Francis Bach &
@GaelVaroquaux: neural networks, tabular data, uncertainty, active learning, atomistic ML, learning theory.
https://dholzmueller.github.io
Madelon Hulsebos @madelonhulsebos.bsky.social AI researcher at CWI & ELLIS Amsterdam https://trl-lab.github.io. Research on tabular AI to democratize insights from structured data. Prev at UC Berkeley and the University of Amsterdam.
https://www.madelonhulsebos.com
Daan de Geus @dcdegeus.bsky.social Postdoc @ RWTH Aachen & Eindhoven University of Technology | Computer Vision
Lucas Beyer (bl16) @giffmana.ai Researcher (OpenAI. Ex: DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian.
Anon feedback: https://admonymous.co/giffmana
📍 Zürich, Suisse 🔗 http://lucasb.eyer.be
Jan van Gemert @jvgemert.bsky.social Head of the Computer Vision lab; TU Delft.
- Fundamental, empirical, understanding-based, Deep Learning research
- Visual inductive priors for data efficiency
Web: https://jvgemert.github.io/
European Conference on Computer Vision #ECCV2026 @eccv.bsky.social Official Account for the European Conference on Computer Vision (ECCV) #ECCV2026, Malmo 🇸🇪 Hosted by @jbhaurum and @CSProfKGD
Phillip Isola @phillipisola.bsky.social Associate Professor in EECS at MIT. Neural nets, generative models, representation learning, computer vision, robotics, cog sci, AI.
https://web.mit.edu/phillipi/
Christian Wolf @chriswolfvision.bsky.social Principal Scientist at Naver Labs Europe, Lead of Spatial AI team. AI for Robotics, Computer Vision, Machine Learning. Austrian in France. https://chriswolfvision.github.io/www/
Mahdi Haghifam @mahdihaghifam.bsky.social Researcher in ML and Privacy.
PhD @UofT & @VectorInst. previously Research Intern @Google and @ServiceNowRSRCH
https://mhaghifam.github.io/mahdihaghifam/
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.
Eli Chien @elichien.bsky.social Incoming assistant professor at National Taiwan University. Postdoc at GeorgiaTech. Ph.D. from UofIllinois. Focus on privacy + graph learning. #MachineUnlearning #DifferentialPrivacy #DP #GNN #LLM
Homepage: https://sites.google.com/view/eli-chien/home
new theory @newtheory.ai
NeurIPS Conference @neuripsconf.bsky.social San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
uai2026 @auai.org Association for Uncertainty in AI.
Upcoming conference: #uai2026 August 17-21 in Amsterdam, Netherlands! 🇳🇱
https://auai.org/uai2026
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.
:probabl. @probabl.ai Own Your Data Science
https://probabl.ai
Vincent D. Warmerdam @koaning.bsky.social Prefer common sense over hype. Employed at @marimo.io, known for calmcode.io and koaning.io. Also working on remember.cards these days.
Sara Hooker @sarahooker.bsky.social I lead Cohere For AI. Formerly Research
Google Brain. ML Efficiency, LLMs,
@trustworthy_ml.
Kai-Fu Lee @kaifulee.bsky.social #AI expert, CEO 01.ai, Chairman Sinovation Ventures, Author of AI 2041 and NYT Bestseller AI Superpowers
Lex Fridman @lexfridman.bsky.social Host of Lex Fridman Podcast.
Interested in robots and humans.
Hugging Face @hf.co The AI community building the future!
Christopher Manning @chrmanning.bsky.social Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
Nicolas Papernot @nicolaspapernot.bsky.social Security and Privacy of Machine Learning at UofT, Vector Institute, and Google 🇨🇦🇫🇷🇪🇺 Co-Director of Canadian AI Safety Institute (CAISI) Research Program at CIFAR. Opinions mine
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/
Jon Ullman @thejonullman.bsky.social Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
Jakub M. Tomczak @jmtomczak.bsky.social Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
Pierre Nyquist @pierrenyquist.bsky.social Assoc. prof. in mathematics at Chalmers/University of Gothenburg. Mainly probability, analysis and computational methods, but I like to visit most areas of mathematics. Elected member Young Academy of Sweden. Mostly here for the science, some for the jokes
Francis Bach @bachfrancis.bsky.social Researcher in machine learning
Brandon Amos @bdamos.bsky.social 🧙🏻♀️ scientist at Meta NYC | http://bamos.github.io
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.
Tim G. J. Rudner @timrudner.bsky.social Assistant Professor, University of Toronto.
Junior Research Fellow, Trinity College, Cambridge.
AI Fellow, Georgetown University.
Probabilistic Machine Learning, AI Safety & AI Governance.
Prev: Oxford, Yale, UC Berkeley, NYU.
https://timrudner.com
Iain Murray @imurray.bsky.social Professor of Machine Learning and Inference, Edinburgh Informatics, Formerly Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray
Zico Kolter @zicokolter.bsky.social Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
@rogergrosse.bsky.social @rogergrosse.bsky.social
Aki Vehtari @avehtari.bsky.social Professor in computational Bayesian modeling, Aalto University, Finland. Co-author of Bayesian Data Analysis 3rd ed, Regression and Other Stories, Active Statistics and Bayesian Workflow. #mcmc_stan and #arviz developer.
https://users.aalto.fi/ave/
Smerity @smerity.bsky.social Always pondering startups, ML, Rust, Python, and 3D printing.
Independent ML researcher consulting on LMs + data.
Previously: Salesforce Research, MetaMind, CommonCrawl, Harvard. 🇦🇺 in SF. He/him.
Personal blog: https://state.smerity.com
Chris J. Maddison @cmaddis.bsky.social Asst. Prof. in Machine Learning at UofT. #LongCOVID patient.
https://www.cs.toronto.edu/~cmaddis/
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.
Sasha Rush @srushnlp.bsky.social Professor, Programmer in NYC.
Cornell, Hugging Face 🤗
Hal Daumé III @haldaume3.bsky.social Human-centered AI #HCAI, NLP & ML. Director TRAILS (Trustworthy AI in Law & Society) and AIM (AI Interdisciplinary Institute at Maryland). Formerly Microsoft Research NYC. Fun: 🧗🧑🍳🧘⛷️🏕️. he/him.
Yoav Goldberg @yoavgo.bsky.social
Chris Olah @colah.bsky.social Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.
Ben Recht @beenwrekt.bsky.social Blog: https://argmin.substack.com/
Webpage: https://people.eecs.berkeley.edu/~brecht/
The Irrational Decision: How We Gave Computers the Power to Choose for Us. (Princeton) https://press.princeton.edu/books/hardcover/9780691272443/the-irrational-decision
David Cox @neurobongo.bsky.social VP, AI Foundations @IBMResearch, IBM Director, @MITIBMLab. Former prof and serial/parallel entrepreneur.
Jascha Sohl-Dickstein @jascha.sohldickstein.com Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
@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
Antti Honkela @ahonkela.bsky.social Prof of machine learning at University of Helsinki. Interested in (differential) privacy and open source software.
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.
Thomas Wolf @thomwolf.bsky.social Co-founder @huggingface
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.]
Sham Kakade @shamkakade.bsky.social Harvard Professor.
ML and AI.
Co-director of the Kempner Institute.
https://shamulent.github.io
Pablo Samuel Castro @pcastr.bsky.social Señor swesearcher @ Google DeepMind, adjunct prof at Université de Montréal and Mila. Musician. From 🇪🇨 living in 🇨🇦.
https://psc-g.github.io/
Mark van der Wilk @mvdw.bsky.social Associate Professor in Machine Learning at the University of Oxford.
Interested in automatic inductive bias selection using Bayesian tools.
Rosanne Liu @rosanneliu.com Founder & executive & community builder & organizer & researcher
ML Collective (mlcollective.org)
Google DeepMind
rosanneliu.com
Kyle Cranmer @kylecranmer.bsky.social Director Data Science Institute @UWMadison, Professor of Physics,
EiC @MLSTjournal. Physics, stats/ML/AI, open science.
Florian Wenzel @flwenz.bsky.social Building Mirelo AI -- a startup around foundational music models. We are hiring!
Before: AWS AI, Google Brain. PhD from HU Berlin.
karpathy @karpathy.bsky.social AI @ OpenAI, Tesla, Stanford- T Thomas Dietterich @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/
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
Marc Deisenroth @deisenroth.bsky.social Machine learning, environmental modeling, sustainability, robotics
Research Director @ Google DeepMind, Professor @ UCL
He/him
Andreas Krause @arkrause.bsky.social Professor at ETH Zurich
ELLIS @ellis.eu Strengthening Europe's Leadership in AI through Research Excellence | ellis.eu
Michael J. Black @michael-j-black.bsky.social Director, Max Planck Institute for Intelligent Systems; Chief Scientist Meshcapade; Speaker, Cyber Valley.
Building 3D humans.
https://ps.is.mpg.de/person/black
https://meshcapade.com/
https://scholar.google.com/citations?user=6NjbexEAAAAJ&hl=en&oi=ao
Charles Sutton @randomlywalking.bsky.social Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
Shakir Mohamed @shakirm.bsky.social AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
Ben Poole @benmpoole.bsky.social research scientist at google deepmind.
phd in neural nonsense from stanford.
poolio.github.io
ICLR Conference @iclr-conf.bsky.social International Conference on Learning Representations https://iclr.cc/
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
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- A Arthur Gretton @arthurgretton.bsky.social
@eeevgen.bsky.social @eeevgen.bsky.social
Nabil Iqbal @nabiliqbal.bsky.social theoretical physics. normally professing at durham u. currently machine learning at amlab at university of amsterdam. www.nabiliqbal.com
@mvmacfarlane.bsky.social @mvmacfarlane.bsky.social PhD Candidate @AmlabUvA working on Reinforcement Learning , Search and Adaptive Computation | visiting researcher at the University of Alberta @rlai_lab
T. Anderson Keller @andykeller.bsky.social Postdoctoral Fellow at Harvard Kempner Institute. Trying to bring natural structure to artificial neural representations. Prev: PhD at UvA. Intern @ Apple MLR, Work @ Intel Nervana
@zmheiko.bsky.social @zmheiko.bsky.social
Rajeev Verma @rajevv.bsky.social hoping this is the old gold twitter | PhD student at @amlab.bsky.social working on the foundations of machine learning | rajevv.github.io
Natasha Butt @natashabutt.bsky.social PhD student at the University of Amsterdam
Advised by Max Welling and Jan-Willem van de Meent
Thomas Steinke @stein.ke Researcher in computer science, math, machine learning, (differential) privacy, AI, etc. at Anthropic.
Kiwi🇳🇿 in California🇺🇸
http://stein.ke/
Yarin @yaringal.bsky.social Associate Professor of Machine Learning, University of Oxford;
OATML Group Leader;
Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
Jeremy Howard @howard.fm https://Answer.AI & https://fast.ai founding CEO; previous: hon professor @ UQ; leader of masks4all; founding CEO Enlitic; founding president Kaggle; various other stuff…
Soumith Chintala @soumithchintala.bsky.social Cofounded and lead PyTorch at Meta. Also dabble in robotics at NYU.
AI is delicious when it is accessible and open-source.
http://soumith.ch
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.
Christian A. Naesseth @canaesseth.bsky.social Assistant Professor of Machine Learning
Generative AI, Uncertainty Quantification, AI4Science
Amsterdam Machine Learning Lab, University of Amsterdam
https://naesseth.github.io
Jan-Willem van de Meent @jwvdm.bsky.social Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.