Conference on Secure and Trustworthy Machine Learning @satml.org IEEE Conference on Secure and Trustworthy Machine Learning
May 2027 (Reykjavik, Iceland) • #SaTML2027
Daniel Wicker @dwicker.bsky.social ⚽️ Director of Analytics and Scouting Coordinator | Charlotte FC
danielwicker.me
Rahul G. Krishnan @rahulgk.bsky.social Assistant Professor at the University of Toronto
⚒️ 🏥 Deep learning and causal inference for computational medicine
Gillian Hadfield @ghadfield.bsky.social Economist and legal scholar turned AI researcher focused on AI alignment and governance. Prof of government and policy and computer science at Johns Hopkins where I run the Normativity Lab. Recruiting CS postdocs and PhD students. gillianhadfield.org
Matthew Guzdial @matthewguz.bsky.social Associate professor @ University of Alberta and Canada CIFAR AI Chair @ Alberta Machine Intelligence Institute.
Games, machine learning, and creativity | he/him
Christian Gagné @cgagne.bsky.social Professor at Université Laval - IID - Mila | Machine Learning Researcher
https://christiangagne.net
Alona Fyshe @alonaf.bsky.social Associate prof @ UAlberta (CS and Psychology) studying language and semantic representations in the brain. TED speaker
Murat A. Erdogdu @erdog.bsky.social Professor at University of Toronto. Research on machine learning, optimization, and statistics.
David Duvenaud @davidduvenaud.bsky.social Machine learning prof at U Toronto. Working on evals and AGI governance.
Audrey Durand @audurand.bsky.social Associate professor @ Université Laval - IID - Mila
Interested in reinforcement learning, bandits, partial monitoring, active learning, ... anything that learns by getting its own data from the environment!
Jeff Clune @jeffclune.com Professor, Computer Science, University of British Columbia. CIFAR AI Chair, Vector Institute. Senior Advisor, DeepMind. ML, AI, deep RL, deep learning, AI-Generating Algorithms (AI-GAs), open-endedness.
Sarath Chandar @sarath-chandar.bsky.social Associate Professor at Polytechnique Montreal and Mila.
Glen Berseth @glenberseth.bsky.social Associate Prof at @umontreal-en.bsky.social @mila-quebec.bsky.social @MontrealRobots
. CIFAR AI Chair, @RL_Conference chair. Creating generalist problem-solving agents for the real world. He/him/il.
Yoshua Bengio @yoshuabengio.bsky.social Working towards the safe development of AI for the benefit of all at Université de Montréal, LawZero and Mila.
A.M. Turing Award Recipient and most-cited AI researcher.
https://lawzero.org/en
https://yoshuabengio.org/profile/
Alán Aspuru-Guzik @aspuru.bsky.social Professor of Chemistry and Computer Science
University of Toronto
Faculty member, Vector Institute
Director, Acceleration Consortium
Senior Director of Quantum Chemistry NVIDIA
My views expressed here are personal and are not those of my employers.
Victor Zhong @vzhong.bsky.social Assistant Prof at University of Waterloo, CIFAR AI Chair at Vector Institute. Formerly UWNLP, Stanford NLP, MSR, FAIR, Google Brain, Salesforce Research via MetaMind
#machinelearning, #nlp
victorzhong.com
Freda Shi @fredashi.bsky.social Assistant Professor & Canada CIFAR AI Chair, University of Waterloo & Vector Institute | Excited about "grounding" in any form | Feeder of 2 🐈 | 🏸, 🏐, 🏂 | she/her
Jasmijn Bastings @jasmijn.bastings.me Researcher, writer, photographer.
📸 bastings.art
📃 transponder.blog
📍 Amsterdam
Ekaterina Hertog @katyahe.bsky.social Associate Professor of AI & Society
Oxford Internet Institute and Institute for Ethics in AI, University of Oxford
Principal Investigator at DomesticAI (http://domesticai.oii.ox.ac.uk) project funded by ESRC
Kirsten Lum @machsci.bsky.social 🌲🌲 Applied ML/AI, data science, MLOps | Wife of 1, mom of 2 | Co-Founder and CTO of http://storytellers.ai
python 🐍 AI 🤖 cloud ☁️ data 📊
I also talk about Jesus here: @itskirstenlum.bsky.social
Steph Wright @elmosmoe.bsky.social Leader and advocate for a different AI future which benefits everyone. CEO/MD and Co-Founder of Our AI Collective. Keynote speaker. Failed astrophysicist. Film geek. Parent. Love a GIF
Anna Rogers @annarogers.bsky.social Associate professor at IT University of Copenhagen: NLP, language models, interpretability, AI & society. Co-editor-in-chief of ACL Rolling Review. #NLProc #NLP
Professor Sue Black OBE @drblack.bsky.social Professor of Computer Science and Tech Evangelist at Durham University; International Keynote Speaker; #womenintech, #100moments tech #podcast host and so much more… https://linktr.ee/drsueblack
Hilary Mason @hilarymason.com Co-founder & CEO of Hidden Door. I <3 cheeseburgers and making beautiful things. I know a thing or two about AI, but it's people who matter. I am interested in many things.
NYC
Margaret Mitchell @mmitchell.bsky.social Researcher trying to shape AI towards positive outcomes. ML & Ethics +birds. Generally trying to do the right thing. TIME 100 | TED speaker | Senate testimony provider | Navigating public life as a recluse.
Former: Google, Microsoft; Current: Hugging Face
Naomi Saphra @nsaphra.bsky.social Waiting on a robot body. All opinions are universal and held by both employers and family. ML/NLP professor.
nsaphra.net
Melanie Mitchell @melaniemitchell.bsky.social Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems.
Website: https://melaniemitchell.me
Substack: https://aiguide.substack.com/
Vicki @vickiboykis.com Founding list[float] engineer. Recsys. Personalization. Infra. Systems. Normcore code. Nutella. Vectors. Words. Vibes. Bad puns (soon).
https://vickiboykis.com/what_are_embeddings/
Catherine Breslin @catherinebreslin.bsky.social AI scientist & consultant :: prev Amazon Alexa, Toshiba, Cam Uni :: voice & language tech :: powered by coffee :: photographer :: Cambridge UK
https://www.catherinebreslin.co.uk- H Michael Tran @huytransformer1.bsky.social
PyMC @pymc.io Probabilistic Programming and Bayesian Modeling in Python
PyMC Labs @pymc-labs.bsky.social The Bayesian AI Consultancy • Using PyMC to solve your most challenging data science problems • http://pymc-labs.com
Andrew Gordon Wilson @andrewgwils.bsky.social Machine Learning Professor
https://cims.nyu.edu/~andrewgw
Sam Power @spmontecarlo.bsky.social Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him).
Homepage: https://sites.google.com/view/sp-monte-carlo
Seminar: https://sites.google.com/view/monte-carlo-semina
Yu-Chien Ning @yuchienn.bsky.social Researcher in Bayesian machine learning
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
Karen Ullrich (s/h) @karen-ullrich.bsky.social Research scientist at FAIR NY ❤️ LLMs + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
Dan Kowal @dan-kowal.bsky.social Associate Professor of Statistics and Data Science at Cornell University.
https://www.danielrkowal.com/
Pierre Alquier @pierrealquier.bsky.social Professor of Statistics @ ESSEC Business School, APAC campus Singapore 🇸🇬
https://pierrealquier.github.io/
Previously:
RIKEN AIP 🇯🇵
ENSAE Paris 🇫🇷 🇪🇺
UCD Dublin 🇮🇪 🇪🇺
Université Paris Cité 🇫🇷 🇪🇺
Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈
Matthew Ashman @mashtro.bsky.social PhD student in the Machine Learning Group, Cambridge.
Thomas Möllenhoff @moellenh.bsky.social researcher
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.- J Joost van Amersfoort @joost.bsky.social
@yeewhye.bsky.social @yeewhye.bsky.social
Andreas Krause @arkrause.bsky.social Professor at ETH Zurich
Martin Trapp @trappmartin.eurosky.social Assistant Prof in Prob ML @ KTH 🇸🇪
WASP Fellow & ELLIS Member
Ex: Aalto Uni 🇫🇮, TU Graz 🇦🇹, originally 🇩🇪.
—
https://trappmartin.github.io/
—
Reliable ML | UQ | Bayesian DL | tractability & PCs
Sebastian Farquhar @sebfar.bsky.social Senior Research Scientist at Google DeepMind. AGI Alignment researcher. Views my dog's.
Luigi Acerbi @lacerbi.bsky.social Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki - Finnish Centre for AI - ELLIS Institute Finland | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
Diana Cai @dianarycai.bsky.social Machine learning researcher
www.dianacai.com
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
@rogergrosse.bsky.social @rogergrosse.bsky.social
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.
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)
Jakob Foerster @jfoerst.bsky.social Jakob
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
Alexander Terenin @avt.im Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell
https://avt.im/ · https://scholar.google.com/citations?user=EGKYdiwAAAAJ&sortby=pubdate
Erin Grant @eringrant.me Assistant Professor @ualberta.bsky.social & Fellow @amiithinks.bsky.social studying cognition in mind & brain with neural nets, Bayes, and other tools (eringrant.github.io).
elsewhere: sigmoid.social/@eringrant, twitter.com/ermgrant @ermgrant
Michael "Shapes Dude" Betancourt @betanalpha.bsky.social Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
Andreas Kirsch @blackhc.bsky.social My opinions only here.
👨🔬 RS DeepMind
Past:
👨🔬 R Midjourney 1y 🧑🎓 DPhil AIMS Uni of Oxford 4.5y
🧙♂️ RE DeepMind 1y 📺 SWE Google 3y 🎓 TUM
👤 @nwspk
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 🏳️⚧️🏳️🌈
Richard McElreath 🐈⬛ @rmcelreath.bsky.social Anthropologist - Bayesian modeling - science reform - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
Idan Attias @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/
Carl Allen @carl-allen.bsky.social Laplace Junior Chair, Machine Learning
ENS Paris. (prev ETH Zurich, Edinburgh, Oxford..)
Working on mathematical foundations/probabilistic interpretability of ML (what NNs learn🤷♂️, disentanglement🤔, king-man+woman=queen?👌…)
Gergely Neu @neu-rips.bsky.social full-time ML theory nerd, part-time AI-non enthusiast
Dylan Foster 🐢 @djfoster.bsky.social Incoming 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
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
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.
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/
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.
Gavin Brown @gavin-brown.bsky.social Postdoc at UW CSE. Differential privacy, memorization in ML, and learning theory.
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]
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
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/
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
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.
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!
Kimon Fountoulakis @kfountou.bsky.social Associate Professor at CS UWaterloo
Machine Learning
Lab: opallab.ca
Francesco Tudisco @ftudisco.bsky.social Machine Learning @ University of Edinburgh | AI4Science | optimization | numerics | networks | co-founder @ labs.miniml.ai | ftudisco.gitlab.io
Natalie Collina @ncollina.bsky.social CS PhD student at UPenn studying strategic human-AI interaction. Nataliecollina.com
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/
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)
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
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.
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/
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.
Bluesky @bsky.app official Bluesky account (check username👆)
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