Terence Tao @teorth.bsky.social Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
EPFL AI Center @epfl-ai-center.bsky.social As a hub for artificial intelligence, the EPFL AI Center leverages the extensive expertise of faculty and researchers across the Institution. It fosters a collaborative environment that nurtures multidisciplinary AI research, education, and innovation.
Sebastian @sezezulka.bsky.social logico-empirical poststructuralistic propaganda | phd student philosophy of science and machine learning @uni-tübingen | something @correlaid.org | 🏳️🌈
@nicoleludwig.bsky.social @nicoleludwig.bsky.social
Dan F-M @dfm.io Retired computational astrophysicist
Interpretability at Anthropic; prev Google DeepMind, Simons Foundation, Journal of Open Source Software
(he/him)
https://dfm.io // https://github.com/dfm
Cornelius Roemer @corneliusroemer.bsky.social Studying SARS-CoV-2 evolution @nextstrain @biozentrum
Studied Physics @Cambridge Uni, then learned about computers
@han-ol.bsky.social @han-ol.bsky.social Simulation, Bayes, trying to improve tools for science
Niklas Schmitz @niklasschmitz.bsky.social PhD student at EPFL, Math for materials modelling. Prev CS at TU Berlin. github.com/niklasschmitz
DurstewitzLab @durstewitzlab.bsky.social Scientific AI/ machine learning, dynamical systems (reconstruction), generative surrogate models of brains & behavior, applications in neuroscience & mental health
Tobias Granwald @granwald.bsky.social Postdoc @ki.se in Marc Guitart-Masip's group and licensed clinical psychologist. Researching decision-making in patients affected by depression.
Ben Höltgen @benhoeltgen.bsky.social Machine Learning in Society | Philosophy of Science | PhD student @ Uni Tübingen | fm.ls/ben
Laura Iacovissi @liacov.bsky.social PhD student at Uni Tübingen, fm.ls group. Banner pic: rare sight of sunshine in Ammergasse, Tübingen.
Ilya Petrov @ptrvilya.bsky.social PhD student @ Real Virtual Humans group (IMPRS-IS & @unituebingen.bsky.social), ex-Samsung AI
https://virtualhumans.mpi-inf.mpg.de/people/Petrov.html
Simo Särkkä @ssarkka.bsky.social Professor at Aalto University working on Bayesian filtering and smoothing, SDEs, etc. ELLIS Fellow, Leader of AIX with Finnish Center for AI (FCAI).
Andreas Geiger @andreasgeiger.bsky.social Professor, University of Tübingen @unituebingen.bsky.social.
Head of Department of Computer Science 🎓.
Faculty, Tübingen AI Center 🇩🇪 @tuebingen-ai.bsky.social.
ELLIS Fellow, Founding Board Member 🇪🇺 @ellis.eu.
CV 📷, ML 🧠, Self-Driving 🚗, NLP 🖺
Daniel Cremers @dcremers.bsky.social Professor of Computer Vision and AI at TU Munich, Director of the Munich Center for Machine Learning mcml.ai and of ELLIS Munich ellismunich.ai
cvg.cit.tum.de
Matthijs Pals @matthijspals.bsky.social Using deep learning to study neural dynamics
@mackelab.bsky.social
Carla @carlasa.bsky.social PhD Candidate @ MoML Tübingen
Jonathan Schmidt @schmidtjonathan.bsky.social Machine Learning Researcher (post doc)
Interested in ML in Science, Probabilistic Inference & Simulation
Adrien Corenflos @adriencorenflos.bsky.social Assistant Professor at the university of Warwick.
I compute integrals for a living.
https://adriencorenflos.github.io/
BIFOLD Berlin Institute for the Foundations of Learning and Data @bifold.berlin Groundbreaking foundational research in Big Data Management, Machine Learning, and their intersection. #AI #Research
www.bifold.berlin
📰News: www.bifold.berlin/news-events/news
🔑Data Privacy: www.bifold.berlin/data-privacy
Sebastian Bischoff @sbischoff.bsky.social PhD student @mackelab.bsky.social and claassenlab in Tübingen
Anders Christensen @anderschri.bsky.social ELLIS PhD Student in Machine Learning at DTU Copenhagen and Helmholtz AI Munich (formerly Tübingen AI Center, Google AR).
Interested in generative modeling, computer vision, and more :)
Katharina Eggensperger @keggensperger.bsky.social Professor for ML and AI at Lamarr Institute / @tu-dortmund.de. Working on AutoML and Tabular Data. All opinions are my own.
Tübingen AI Center @tuebingen-ai.bsky.social We are a joint partnership of University of Tübingen and Max Planck Institute for Intelligent Systems. We aim at developing robust learning systems and societally responsible AI. https://tuebingen.ai/imprint
https://tuebingen.ai/privacy-policy#c1104
Jan Peters @jan-peters.bsky.social #RobotLearning Professor (#MachineLearning #Robotics) at @ias-tudarmstadt.bsky.social of
@tuda.bsky.social @dfki.bsky.social @hessianai.bsky.social
Johannes Zenn @johanneszenn.bsky.social PhD Student in Machine Learning at Max-Planck Institute for Intelligent Systems and @unituebingen.bsky.social, @tuebingen-ai.bsky.social, IMPRS-IS; previously intern @vectorinstitute.ai; jzenn.github.io
Rita Gonzalez Marquez @ritagonmar.bsky.social PhD student at the University of Tübingen
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/
Ian Goodfellow @ian-goodfellow.bsky.social Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Founding chairman of www.publichealthactionnetwork.org
Ferenc Huszár @inference.vc Secular Bayesian.
Professor of Machine Learning at Cambridge Computer Lab
Talent aficionado at http://airetreat.org
Alum of Twitter, Magic Pony and Balderton Capital
Andrew Gordon Wilson @andrewgwils.bsky.social Machine Learning Professor
https://cims.nyu.edu/~andrewgw
@parisperdikaris.bsky.social @parisperdikaris.bsky.social
Approximate Bayes Seminar @approxbayesseminar.bsky.social Posting about the One World Approximate Bayesian Inference (ABI) Seminar, details at https://warwick.ac.uk/fac/sci/statistics/news/upcoming-seminars/abcworldseminar/
Abdul Fatir @solitarypenman.bsky.social
Jonas Beck @jnsbck.de Inference in biophysical neuron models. PhD student at Hertie AI / Uni Tuebingen with @celltypist.bsky.social.
Lisa Schmors @lisaschmors.bsky.social Postdoc @hertie-ai.bsky.social | PhD @maxplanckcampus.bsky.social & unituebingen.bsky.social | Interested in Computational Neuroscience, Data Science & AI 🧠🤖 | Science Podcast https://linktr.ee/i_am_scientist 🎙️🧬
Typst @typst.app The new foundation for documents: Limitless power to write, create, and automate anything that you can fit on a page.
Adrian Hill @adrianhill.de PhD student at @bifold.berlin, Machine Learning Group, TU Berlin.
Automatic Differentiation, Explainable AI and #JuliaLang.
Open source person: adrianhill.de
Vitus Benson @vitusbenson.bsky.social (machine) learning @ MPI BGC
✨ https://vitusbenson.github.io/
Julia Language @julialang.org Julia is a high-level, dynamic programming language built for technical computing.
Official Bluesky account of the Julia Language Project
#JuliaLang
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
James Hensman @jameshensman.bsky.social Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
Marc Deisenroth @deisenroth.bsky.social Machine learning, environmental modeling, sustainability, robotics
Research Director @ Google DeepMind, Professor @ UCL
He/him
Sander Dieleman @sedielem.bsky.social Blog: https://sander.ai/
🐦: https://x.com/sedielem
Research Scientist at Google DeepMind (WaveNet, Imagen 3, Veo, ...). I tweet about deep learning (research + software), music, generative models (personal account).
Sasha Rush @srushnlp.bsky.social Professor, Programmer in NYC.
Cornell, Hugging Face 🤗
Miles Cranmer @milescranmer.bsky.social AI + Astro/Physics. Assistant Prof at Cambridge.
astroautomata.com/
Paige Bailey (webpaige.dev) @dynamicwebpaige.bsky.social ✨ Keep it simple, make it scale. AI should be about empowering users and building understanding. 👩💻 AI Developer Experience @ Google DeepMind, ex-Github, ex-Google
typedfemale @typedfemale.bsky.social
Andreas Krause @arkrause.bsky.social Professor at ETH Zurich
Lorenzo Stella @lostella.bsky.social Applied Scientist @ AWS • IMTLucca and KULeuven alumn • #JuliaLang enthusiast • Views expressed are my own, yada yada yada
GitHub: https://github.com/lostella
Sebastien Bubeck @sbubeck.bsky.social I work on AI at OpenAI.
Former VP AI and Distinguished Scientist at Microsoft.
Francis Bach @bachfrancis.bsky.social Researcher in machine learning
Oleksandr Shchur @oleksandr-shchur.bsky.social Applied Scientist at AWS working on auto.gluon.ai
Machine learning, time series forecasting
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
Jonathan Wenger @jwenger.bsky.social Postdoctoral Research Scientist in Statistics at Columbia University
Patrick Kidger @patrickkidger.bsky.social 🚀 Doing something new. Curing uncured diseases.
🧪 antibodies+AI, neural ODEs, open-source JAX ecosystem.
👨💻 ex-{Cradle, Google, Oxford}.
📍 Zürich, Switzerland
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
Kyle Cranmer @kylecranmer.bsky.social Director Data Science Institute @UWMadison, Professor of Physics,
EiC @MLSTjournal. Physics, stats/ML/AI, open science.
Charles Sutton @randomlywalking.bsky.social Research Scientist, Google DeepMind / Ex-academic / Deep learning to help people write code / ❤️s:🐱🐶☕️🍕
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.
karpathy @karpathy.bsky.social AI @ OpenAI, Tesla, Stanford
Leander Kurscheidt @leanderk.bsky.social ML PhD student @ Uni Edinburgh
Interesting in (tractable) probabilistic machine learning, computing niche integrals and whatever you want to tell me about your research!
@michaelddennis.bsky.social @michaelddennis.bsky.social RS DeepMind. Works on Unsupervised Environment Design, Problem Specification, Game/Decision Theory, RL, AIS. prev CHAI_Berkeley
Jonathan Mannhart 🔎🔸 @jonathanm.bsky.social Interested in: cognitive science, Bayes, (ir)rationality, (effective) altruism, happiness, Al Alignment, reward hacking, running, reading books. He/him
Max Planck Campus Tübingen @maxplanckcampus.bsky.social This is the Tübingen research campus of the Max Planck Society in Germany. We do basic research in fields of biology, neuroscience, and AI.
For Institute specific updates follow:
@mpicybernetics.bsky.social
@mpi-bio-fml.bsky.social
Universität Tübingen @unituebingen.bsky.social Offizieller Account der Universität Tübingen.
Impressum: https://uni-tuebingen.de/impressum/
Datenschutz: https://uni-tuebingen.de/impressum/bluesky-hinweise/
sbi - Simulation-based inference @sbi-devs.bsky.social Community-maintained simulation-based inference (SBI) toolkit in PyTorch:
• NPE, NLE & NRE
• amortized and sequential inference
• wide range of diagnostics
Posts written by @deismic.bsky.social & @janboelts.bsky.social.
🔗 https://github.com/sbi-dev/sbi
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
Chris Rackauckas @chrisrackauckas.bsky.social Lead dev of SciML org, VP of Modeling and Simulation @JuliaHub, Director of Scientific Research @PumasAI, and Research Staff
@mit_csail. #julialang #sciml
Simon Danisch @simi.bsky.social Working on Julia, Graphics, Plotting and GPU computing - studied Cognitive Science, creator of Makie.jl
Makie.jl @makie.org Makie.jl is a plotting library for Julia. Follow this account to view updates & outstanding examples! https://github.com/JuliaPlots/Makie.jl
Guillaume Dalle @gdalle.bsky.social Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
Seth Axen 🪓 @sethaxen.com Empowering scientists with machine learning @mlcolab.org. Sometimes #Bayesian. Usually #FOSS. Often in #JuliaLang.
Expat: 🇺🇸 ➡️ 🇩🇪
💼 On the job market (remote/southwest Germany)
sethaxen.com
Moritz Schauer @mschauer.bsky.social Statistician, Associate Professor (Lektor) at University of Gothenburg and Chalmers; inference and conditional distributions for anything
https://mschauer.github.io
http://orcid.org/0000-0003-3310-7915
[ˈmoː/r/ɪts ˈʃaʊ̯ɐ]
Jacob S. Zelko @thecedarprince.bsky.social 🤓: Applied Math & Biomed Engineer; Research Affl @usask.ca
🔎: Health informatics, public health, applied cat. theory & open source/science
📝: EN/ES/DE/AR
🌐: Blog @ https://jacobzelko.com
📹: Twitch @ https://www.twitch.tv/thecedarprince
Chad Scherrer @cscherrer.bsky.social Doing Bayesian stuff in #rustlang and #julialang. Seattle
Frank Schneider @fsschneider.bsky.social Postdoctoral researcher at the University of Tübingen working on (benchmarking) training methods for deep learning
Nico Krämer @pnkraemer.bsky.social Probabilistic numerics, differentiable linear algebra, and a healthy dose of figure-making.
https://pnkraemer.github.io/
ML ⇌ Science Colaboratory @mlcolab.org We accelerate research in the sciences and humanities with machine learning; part of the @ml4science.bsky.social cluster at @unituebingen.bsky.social
Web: mlcolab.org
Member profiles: @sethaxen.com @vstaros.bsky.social
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 🏳️⚧️🏳️🌈
Motonobu Kanagawa @motonobu-kanagawa.bsky.social Statistics, machine learning, numerics, and simulation at EURECOM.
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.
Joanna Sliwa @joannasliwa.bsky.social ELLIS & IMPRS-IS PhD student at University of Tübingen
Working on Bayesian Deep Learning in Philipp Hennig's group
Website: https://joannasliwa.github.io
Bálint Mucsányi @bmucsanyi.bsky.social ELLIS & IMPRS-IS PhD Student at the University of Tübingen.
Excited about uncertainty quantification, weight spaces, and deep learning theory.
Tim Weiland @timwei.land PhD student @ ELLIS, IMPRS-IS.
Working on physics-informed ML and probabilistic numerics at Philipp Hennig's group in Tübingen.
https://timwei.land
@2bys.bsky.social @2bys.bsky.social PhD with Philipp Hennig, Tübingen. Interests in Deep Learning for PDEs, Laplace Approximation and symmetry structures.
Nathaël Da Costa @nathaeldacosta.bsky.social IMPRS-IS PhD student @ Tübingen. Applied Mathematics & Probabilistic ML
Kerstin Rau @kerstinrau.bsky.social PhD Student in @uni_tue at @ml4science and Tübingen AI Center, member of @KImachtSchule
Michael Deistler @deismic.bsky.social Machine Learning tools for neuroscience @mackelab.bsky.social.
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
Philipp Berens @philipp.hertie.ai Professor of Data Science @ University of Tübingen, Director of Hertie AI (www.hertie.ai) and Speaker of ML4Science (www.machinelearningforscience.de)
Bethge Lab @bethgelab.bsky.social Machine Learning and Neuroscience Lab @ Uni Tuebingen, PI: Matthias Bethge, bethgelab.org
Elisa Nguyen @elinguyen.bsky.social PhD Student in the STAI group at the University of Tübingen and IMPRS-IS | Volunteering at KI macht Schule and prev. Viva con Agua
elisanguyen.github.io
prev. intern at Vector Institute, MSR DL
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.
Seong Joon Oh @coallaoh.bsky.social Professor in Scalable Trustworthy AI @ University of Tübingen | Advisor at Parameter Lab & ResearchTrend.AI
https://seongjoonoh.com | https://scalabletrustworthyai.github.io/ | https://researchtrend.ai/
Jakob Macke @jakhmack.bsky.social #AI4Science #CompNeuro #NeuroAI #SBI
www.mackelab.org @mackelab.bsky.social
· PI and Hector Fellow ELLIS Institute @ellisinsttue.bsky.social tue.ellis.eu
· Prof Uni Tuebingen @ml4science.bsky.social BCCN tue.ai