Ph.D. Student @ UPenn. I am mainly interested on Bayesian inference algorithms and stochastic optimization.
https://ellis-jena.eu is developing+applying #AI #ML in #earth system, #climate & #environmental research.
Partner: @uni-jena.de, https://bgc-jena.mpg.de/en, @dlr-spaceagency.bsky.social, @carlzeissstiftung.bsky.social, https://aiforgood.itu.int
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science.
www.dianacai.com
Statistics Associate Prof at the Free University of Bozen-Bolzano • Sometimes I run, sometimes over mountains • alessandrocasa.github.io
Associate Prof. in ML & Statistics at NUS 🇸🇬
MonteCarlo methods, probabilistic models, Inverse Problems, Optimization
https://alexxthiery.github.io/
Assistant Professor of Statistics @economicsunito.bsky.social University of Torino and Collegio Carlo Alberto Affiliate. He/him.
Professor of Statistics, University of Jyväskylä. Computational statistics, applied probability, Monte Carlo methods, Bayesian inference.
https://iki.fi/mvihola/
Canadian in Taiwan. Emerging tech writer, and analyst with a flagship Newsletter called A.I. Supremacy reaching 115k readers
Also watching Semis, China, robotics, Quantum, BigTech, open-source AI and Gen AI tools.
https://www.ai-supremacy.com/archive
Assistant Professor at the university of Warwick.
I compute integrals for a living.
https://adriencorenflos.github.io/
In-depth, independent reporting to better understand the world, now on Bluesky. News tips? Share them here: http://nyti.ms/2FVHq9v
Professor of Statistics in the Department of Mathematical Sciences at Durham University, U.K.
#academicsky #rstats
Lurking here for now, may start to post in due course. Currently more active on Mastodon: https://fosstodon.org/@louisaslett
Research scientist at Google DeepMind. Creating noise from data.
🇮🇹 ProbAI Research Fellow @warwickstats.bsky.social. Previously @ellis.eu Stats PhD @edinunimaths.bsky.social @aalto.fi. 🤔💭 about Monte Carlo, approximate inference, UQ
Approximate Bayesian at Bristol University
Professor of Statistics at University of Warwick; computational methods, Monte Carlo, gradient flows and fun things like those.
Professor of Statistics, Bayesian, computational systems biologist and functional programmer, https://darrenjw.github.io/
Lecturer at the Department of Statistical Science of UCL. All opinions my own. 🇲🇽🇬🇧
https://sites.google.com/site/fjavierrubio67/
#rstats #JuliaLang #Bayesian #Statistics #Biostatistics
TMLR Homepage: https://jmlr.org/tmlr/
TMLR Infinite Conference: https://tmlr.infinite-conf.org/
Advocate for tech that makes humans better | Spatial Computing, Holodeck, and AI Futurist | Ex-Microsoft, Rackspace | Co-author, "The Infinite Retina."
Bayesian statistics, Gaussian processes, and all things ML. Senior Applied Scientist at Amazon and developer of GPJax.
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/
Machine Learning Professor
https://cims.nyu.edu/~andrewgw
Science News from Academic Journals etc.
Associate Prof @ LMU Munich
PI @ Munich Center for Machine Learning
Ellis Member
Associate Fellow @ relAI
-----
https://davidruegamer.github.io/ | https://www.muniq.ai/
-----
BNNs, UQ in DL, DL Theory (Overparam, Implicit Bias, Optim), Sparsity
Postdoctoral fellow @ University of Oslo (back home in 🏔️🇳🇴🏔️), Bayesian stats (high-dimensional, nonparametric, ML), biostatistics, computation. Previously @ MRC Biostatistics Unit, University of Cambridge 🇬🇧
Documentary producer and director. BBC, Discovery, Sky, PBS and Permission To Know on YouTube
www.youtube.com/@PermissionToKnow
Assistant Professor, University of Amsterdam
Hyperbolic deep learning
https://sites.google.com/view/kriznakumar/ Associate professor at @ucdavis
#machinelearning #deeplearning #probability #statistics #optimization #sampling
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/
Senior Staff Research Scientist @Google DeepMind, former Chair Prof @Oxford Uni
messing up with gaussians
Manchester Centre for AI FUNdamentals | UoM | Alumn UCL, DeepMind, U Alberta, PUCP | Deep Thinker | Posts/reposts might be non-deep | Carpe espresso ☕
⛵️ Research Resident @ Midjourney
🇪🇺 Member @ellis.eu
🤖 Generative NNs, Deep Learning, ProbML, Simulation Intelligence
🎓 PhD+MSc Computer Science, MSc Psychology
🏡 https://marvin-schmitt.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, 🐎 🎶
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
Academy Professor in computational Bayesian modeling at Aalto University, Finland. Bayesian Data Analysis 3rd ed, Regression and Other Stories, and Active Statistics co-author. #mcmc_stan and #arviz developer.
Web page https://users.aalto.fi/~ave/
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.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
Full Professor at @deptmathgothenburg.bsky.social | simulation-based inference | Bayes | stochastic dynamical systems | https://umbertopicchini.github.io/
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)
Assistant Professor of Machine Learning
Generative AI, Uncertainty Quantification, AI4Science
Amsterdam Machine Learning Lab, University of Amsterdam
https://naesseth.github.io
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
Associate Prof | AI for drug discovery | Eindhoven University of Technology | Previously ETH Zurich & UniMiB | she/her 🏳️🌈
Speech • Language • Learning
https://grzegorz.chrupala.me
@ Tilburg University
CS 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
Full prof at Saarland University & part of the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal |
🇮🇹🇸🇮 in 🇩🇪🇳🇱
#UAI2026 general chair
https://saramagliacane.github.io/
Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they
Assistant professor in Natural Language Processing at the University of Edinburgh and visiting professor at NVIDIA | A Kleene star shines on the hour of our meeting.
ELLIS PhD student at the University of Edinburgh
https://lenazellinger.github.io/
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?👌…)
Associate Prof at EURECOM and 3IA Côte d'Azur Chair of Artificial Intelligence. ELLIS member.
Data management and NLP/LLMs for information quality.
https://www.eurecom.fr/~papotti/
Dad · Geometry ∩ Topology ∩ Machine Learning
Professor at University of Fribourg 🇨🇭
🏠 https://bastian.rieck.me/
🏫 https://aidos.group
☕️ https://ko-fi.com/pseudomanifold
#CS Associate Prof York University, #ComputerVision Scientist Samsung #AI, VectorInst Faculty Affiliate, TPAMI AE, ELLIS4Europe Member, #CVPR2026 #ECCV2026 Publicity Chair
📍Toronto 🇨🇦 🔗 csprofkgd.github.io
🗓️ Joined Nov 2024
Computational Biology and Statistics
Spatial Omics, Precision Oncology
R, Bioconductor, Open Science
https://www.huber.embl.de
Textbook: Modern Statistics for Modern Biology
https://www.huber.embl.de/msmb/ (with @sherlockpholmes.bsky.social)
Ellis PhD Student at JKU Linz working on Diffusion Samplers and combinatorial optimization
Senior researcher at Inria and Ecole polytechnique, France.
ACM Senior Member.
Working on BigData, AI, Fact-Checking, Disinformation https://pages.saclay.inria.fr/ioana.manolescu/
Postdoc in machine learning with Francis Bach &
@GaelVaroquaux: neural networks, tabular data, uncertainty, active learning, atomistic ML, learning theory.
https://dholzmueller.github.io
Senior AI researcher at BSC. Random thinker at home.
Professor at UT Nuremberg, Germany
I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
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/
Scientist 👩🔬 & EPFL Prof 🇨🇭 | DeepLabCut.org , 🦓 cebra.ai | neuroscience & ML 🧠 mackenziemathislab.org | ✨CSO at Kinematik.ai | occasionally 🐦⬛birds/🌱outdoors/🍣food/👠fashion
doing a phd in RL/online learning on questions related to exploration and adaptivity
> https://antoine-moulin.github.io/
ELLIS PhD | Interpreting world models
Research fellow @OxfordStats @OxCSML, spent time at FAIR and MSR
Former quant 📈 (@GoldmanSachs), former former gymnast 🤸♀️
My opinions are my own
🇧🇬-🇬🇧 sh/ssh
Professor in Scalable Trustworthy AI @ University of Tübingen | Advisor at Parameter Lab & ResearchTrend.AI
https://seongjoonoh.com | https://scalabletrustworthyai.github.io/ | https://researchtrend.ai/
Research Scientist at valeo.ai | Teaching at Polytechnique, ENS | Alumni at Mines Paris, Inria, ENS | AI for Autonomous Driving, Computer Vision, Machine Learning | Robotics amateur
⚲ Paris, France 🔗 abursuc.github.io
ELLIS PhD Student in ML at the University of Tübingen.
Love Physics, Maths, Machine learning, Computer Science but above all playing 🎸🎵 Happy dad 👧 👧. Also professor @ EPFL. Views are my own.
ML PhD student @WarwickDCS
https://kairanzhao.github.io/
Research Intern @adobe.com | PhD @ucl.ac.uk | @ellis.eu | ex-Nvidia, Berkeley | Interested in generative modelling in vision and graphics + reasoning (LLMs)
https://niladridutt.com/
Postdoc AI Researcher (NLP) @ ITU Copenhagen
🧭 https://mxij.me
PhD. Student @ELLIS.eu @UniFreiburg with Thomas Brox and Cordelia Schmid
Understanding intelligence and cultivating its societal benefits
https://kifarid.github.io
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
Machine learning for molecular biology. ELLIS PhD student at Fabian Theis lab. Prev. intern @genentech.bsky.social & @novartis.bsky.social, MSc @icepfl.bsky.social
ELLIS PhD student in machine learning at IMPRS-IS. Continual learning at scale.
sebastiandziadzio.com
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
ELLIS PhD Student @ IMPRS-IS/Uni Stuttgart; ML Research @ Bitdefender | https://andreimano.github.io/
PhD Student at @compvis.bsky.social & @ellis.eu working on generative computer vision.
Interested in extracting world understanding from models and more controlled generation. 🌐 https://stefan-baumann.eu/
Professor @ University of Stuttgart, Scientific Advisor @ NEC Labs, GraphML, geometric deep learning, ML for Science and Simulations. Formerly @IUBloomington and @uwcse
Associate Professor @ Utrecht University, NLP & Computational Linguistics.
ELLIS Member. Utrecht Young Academy Board Member. CUCo Board Member.
Natural Language Processing @ NLTP nlp.sites.uu.nl 🇱🇺
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
Machine Learning ELLIS PhD at Johannes Kepler University Linz and University of Oxford
PhD with Philipp Hennig, Tübingen. Interests in Deep Learning for PDEs, Laplace Approximation and symmetry structures.
ELLIS & IMPRS-IS PhD Student at the University of Tübingen.
Excited about uncertainty quantification, weight spaces, and deep learning theory.
AI faculty @ ELLIS Institute Tübingen & Max Planck Institute for Intelligent Systems. Heading the Computational Applied Mathematics & AI Lab (CAMAIL)
Prev: MIT CSAIL + ETH Zurich
https://camail.org/
PhD student in HRI/HCI/ML at ELLIS, University of Augsburg, Germany.
Research on Human-Centered Artificial Intelligence, focusing on Trust in Robotics and Social Robots.
🎓 M.Sc. in Computer Science and Psychology (Ulm University).
📧 chang.zhou@uni-a.de
ELLIS & IMPRS-IS PhD student at University of Tübingen
Working on Bayesian Deep Learning in Philipp Hennig's group
Website: https://joannasliwa.github.io
Professor, University Of Copenhagen 🇩🇰 PI @belongielab.org 🕵️♂️ Director @aicentre.dk 🤖 President @ellis.eu 🇪🇺 Formerly: Cornell, Google, UCSD
#ComputerVision #MachineLearning
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
Professor of Computer Vision/Machine Learning at Imagine/LIGM, École nationale des Ponts et Chaussées @ecoledesponts.bsky.social Music & overall happiness 🌳🪻 Born well below 350ppm 😬 mostly silly personal views
📍Paris 🔗 https://davidpicard.github.io/
Large Models, Multimodality, Continual Learning | ELLIS ML PhD with Oriol Vinyals & Zeynep Akata | Previously Google DeepMind, Meta AI, AWS, Vector, MILA
🔗 karroth.com
PhD student in machine learning at ELLIS Institute Tübingen, MPI-IS and ETH. Prev: MSc in CS at ETH
Professor of Statistical Machine Learning at the University of Adelaide.
https://sejdino.github.io/
