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
Climate & AI Lead @HuggingFace, TED speaker, WiML board member, TIME AI 100 (She/her/Dr/🦋)
Machine learning prof at U Toronto. Working on evals and AGI governance.
AI and Biology. Want to cure cancer.
Associate Professor of Computer Science at Northeastern University in Boston. Dad. Imposter.
Research Scientist at GDM. Statistician. Mostly work on Responsible AI. Academia-industry flip-flopper.
Epigenetic Inheritance, Neuroscience & anything biology-related
https://www.odedrechavilab.com/
q.e.d: https://www.qedscience.com
Organizer of “The Woodstock of Biology”
TED: https://shorturl.at/myFTY
Huberman Lab Podcast: https://youtu.be/CDUetQMKM6g
Postdoctoral researcher at SIERRA (Inria Paris) in ML/Learning Theory.
Research fellow @OxfordStats @OxCSML, spent time at FAIR and MSR
Former quant 📈 (@GoldmanSachs), former former gymnast 🤸♀️
My opinions are my own
🇧🇬-🇬🇧 sh/ssh
Research & code: Research director @inria
►Data, Health, & Computer science
►Python coder, (co)founder of scikit-learn, joblib, & @probabl.bsky.social
►Sometimes does art photography
►Physics PhD
Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com
So far I have not found the science, but the numbers keep on circling me.
Views my own, unfortunately.
web: http://maxim.ece.illinois.edu
substack: https://realizable.substack.com
DeepMind Professor of AI @Oxford
Scientific Director @Aithyra
Chief Scientist @VantAI
ML Lead @ProjectCETI
geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
Assistant Professor in Mathematical Statistics and Statistical Learning at the University of Twente. https://riannedeheide.github.io
Contralto, professional horn player, percussionist, wannabe long-distance runner, mother.
Professor of Statistical Machine Learning at the University of Adelaide.
https://sejdino.github.io/
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
Machine Learning Researcher
https://alexalemi.com
https://blog.alexalemi.com
#AI4Science #CompNeuro #NeuroAI #SBI
www.mackelab.org @mackelab.bsky.social
· Prof Uni Tuebingen ML4Science BCCN tue.ai
· Adjunct MPI IS · Fellow ellis.eu
· currently hiring postdocs and PhD students
· sometimes goes for a run
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
Assistant Professor of Machine Learning
Generative AI, Uncertainty Quantification, AI4Science
Amsterdam Machine Learning Lab, University of Amsterdam
https://naesseth.github.io
AI, sociotechnical systems, social purpose. Research director at Google DeepMind. Cofounder and Chair at Deep Learning Indaba. FAccT2025 co-program chair. shakirm.com
Assistant Professor / Faculty Fellow @nyudatascience.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
Parent, spouse, 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
Anthropologist - Bayesian modeling - science reform - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
Associate Professor in Machine Learning at the University of Oxford.
Interested in automatic inductive bias selection using Bayesian tools.
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.github.io
Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.
Machine learning, environmental modeling, sustainability, robotics
Professor @UCL
He/him
Secular Bayesian.
Professor of Machine Learning at Cambridge Computer Lab
Talent aficionado at http://airetreat.org
Alum of Twitter, Magic Pony and Balderton Capital
Research scientist at Anthropic. Prev. Google Brain/DeepMind, founding team OpenAI. Computer scientist; inventor of the VAE, Adam optimizer, and other methods. ML PhD. Website: dpkingma.com
Statistical and psychiatric geneticist at Aarhus University
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/
Assistant prof at TU Graz, formerly assistant prof at TU Eindhoven, Marie-Curie Fellow at University of Cambridge. Probabilistic Machine Learning.
Researcher in machine learning
Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
Postdoc @ Linköping University, STIMA division
oshillou.github.io
human being | assoc prof in #ML #AI #Edinburgh | PI of #APRIL | #reliable #probabilistic #models #tractable #generative #neuro #symbolic | heretical empiricist | he/him
👉 https://april-tools.github.io
Using machines to learn about biology.
Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU)
https://frellsen.org
AI + Astro/Physics. Assistant Prof at Cambridge.
astroautomata.com/
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
⛵️ Research Resident @ Midjourney
🇪🇺 Member @ellis.eu
🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence
🎓 PhD+MSc Computer Science, MSc Psychology
🏡 https://marvin-schmitt.com
Full Professor of Computational Statistics at TU Dortmund University
Scientist | Statistician | Bayesian | Author of brms | Member of the Stan and BayesFlow development teams
Website: https://paulbuerkner.com
Opinions are my own
Biostatistician @IDEXX formerly at harvardmed, @BIDMChealth, @nasa. Big data, clinical trials, and medical diagnostics. Mainer. Opinions are my own. he/him
CS researcher in uncertainty reasoning (wherever it appears: risk analysis, AI, philosophy, ...), mostly mixing sets and probabilities. Posts mostly on this topic (french and english), and a bit about others. Personal account and opinions.
Blog and webinar by Young Statisticians Europe (YSE) of @fenstats.bsky.social, supported by the Bernoulli Society and the @instmathstat.bsky.social.
"Uncultured researcher in computer science, completely banal and mainstream."
affilié à France Points Fixes et à Theorems As A Service
he/him/whatever
https://social.sciences.re/@MonniauxD
https://cv.hal.science/david-monniaux
Calcio, Milan, statistics
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
AI & CV scientist, CEO at @kyutai-labs.bsky.social
Postdoctoral fellow @ University of Oslo (back home in 🏔️🇳🇴🏔️), Bayesian stats (high-dimensional, nonparametric, ML), biostatistics, computation. Previously @ MRC Biostatistics Unit, University of Cambridge 🇬🇧
Sustainability | Governance
Trust is built in complexity
Engagement ≠ Alignment
Research scientist, Inria. Statistical machine learning.
https://www.vita-group.space/ 👨🏫 UT Austin ML Professor (on leave)
https://www.xtxmarkets.com/ 🏦 XTX Markets Research Director (NYC AI Lab)
Superpower is trying everything 🪅
Newest focus: training next-generation super intelligence - Preview above 👶
PhD student @Criteo-INRIA-CREST | RL, Privacy, Learning augmented algorithms
Statistics and Machine Learning, AI for a better world, academics, opinions with a colour.
MCF en Nouvelles Écritures Audiovisuelles - Université Côte d'Azur
Membre du LIRCES (UPR 3159) et Membre Associé de MARGE (EA3712)
Président de l'Observatoire des Mondes Numériques en Sciences Humaines (OMNSH)
Docteur en Art & Sciences de l'Art - Arts PhD
Probabilistic {Machine,Reinforcement} Learning and more at SDU
💻 BSc Computer Science. 🧬 Bioinformatics & Comp Bio | 📈 Math Stats. 🐧 GNU/Linux enthusiast.
🌐 https://phrafsanjani.github.io
https://maxhhird.github.io/
University of Cambridge and
Max Planck Institute for Intelligent Systems
I'm interested in amortized inference/PFNs/in-context learning for challenging probabilistic and causal problems.
https://arikreuter.github.io/
Co-founder and CEO, Mistral AI
🇮🇹 ProbAI Research Fellow @warwickstats.bsky.social. Previously @ellis.eu Stats PhD @edinunimaths.bsky.social @aalto.fi. 🤔💭 about Monte Carlo, approximate inference, UQ
Researcher with interest in ML for complex dynamical systems. My main work focuses on biodiversity modelling. 🌱
🪪 https://vboussange.github.io
💻 https://github.com/vboussange
📍Swiss Federal Research Institute for Forest, Snow and Landscape WSL
Research associate @harvard.edu @hsph.harvard.edu Dept of Biostatistics | Bayesian causal inference
New on Bluesky 🦋
Senior Researcher@Criteo,
Rising Star in AI Ethics 2025 |
Fairness, Causality, GenAI
ELLIS PhD student at the University of Edinburgh
https://lenazellinger.github.io/
PhD student in Computational Statistics and Machine Learning at STOR-i CDT, Lancaster University, UK.
Research Interests: Bayesian Experimental Designs, Gaussian Processes, Sampling Algorithms.
https://shusheng3927.github.io/
Prof at the University of British Columbia. Research in statistics, ML, and AI for science. Views are my own. https://charlesm93.github.io./
Professor at UT Nuremberg, Germany
I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
full-time ML theory nerd, part-time AI-non enthusiast
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
Machine learning research engineer
Applied probabilist. Probability, MCMC, optimization, information theory, TCS.
https://mchchoi.github.io/
Lecturer at the University of Bristol. Interested in optimization, game theory and learning theory.
Professor of Statistics at Bocconi University
PhD student in Machine Learning @Warsaw University of Technology and @IDEAS NCBR
S. L. Rolland@332ppm
REPOST
Roma 🇫🇷🇪🇸🇪🇨🇲🇽🇮🇹🇵🇹🇧🇷GalCat;🇷🇴
Germ 🇬🇧🇨🇦🇳🇱🇧🇪🇩🇪🇸🇪🇩🇰🇳🇴;Nno🇮🇸🇫🇴
Slav 🇵🇱🇺🇦🇷🇺🇨🇿🇸🇰;🇧🇬🇭🇷🇷🇸(🇧🇦🇲🇪🇧🇾)🇸🇮
Hel 🇬🇷 Sino 🇨🇳;🇹🇼 Aggl Eo🇹🇷🇫🇮;🇪🇪🇭🇺
Poly 🇯🇵🇬🇱;🇰🇷🇲🇳 Aus 🇮🇩🇲🇾🇵🇭🇲🇬 Sem 🇮🇱🇱🇧🇲🇦 Cel 🏴🇮🇪Gd
Linguistics
Climate Agnotology Disinformation
Antispeciesism Flexitarian
Astro🌟🌒🌕🌘Calligraphy🪶
Linux
Data scientist interested in causal inference, Bayesian statistics and data visualization.
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/
Professor in applied mathematics at University of Orléans 🇫🇷 & IUF Junior 2022 on an innovation chair.
Interested in image processing and deep generative models.
I teach generative models for imaging at #MasterMVA.
Graduate Student - Interested in RL and its mathematics 👾
> https://amirhosein-mesbah.github.io/
Math Assoc. Prof. (on leave, Aix-Marseille, France)
Interest: Prob / Stat / ANT. See: https://sites.google.com/view/sebastien-darses/research?authuser=0
Teaching Project (non-profit): https://highcolle.com/
Associate Professor of Statistics at Università Cattolica del Sacro Cuore @unicatt.bsky.social. Doctor Europaeus 🇪🇺.
Mixture Models | Model-based clustering and classification | Health Analytics | Rstats
Website: http://andreacappozzo.rbind.io/
