@bengolub.bsky.social
economics and computer science professor at Northwestern bengolub.net social and economic networks originally from Ukraine
@meredithmeredith.bsky.social
President of Signal, Chief Advisor to AI Now Institute
@mioana.bsky.social
Senior researcher at Inria, Part-time professor at Ecole Polytechnique, France. ACM Senior Member. Working on BigData, AI, Fact-Checking, Disinformation https://pages.saclay.inria.fr/ioana.manolescu/
@karlrohe.bsky.social
“Overly optimistic” 🦮 in Statistics. Listening in statistics. Statistics Professor at UW Madison.
@csprofkgd.bsky.social
#CS Associate Prof York University, #ComputerVision Scientist Samsung #AI, VectorInst Faculty Affiliate, TPAMI AE, ELLIS4Europe Member, #CVPR2025 Publicity Chair on X 📍Toronto 🇨🇦 🔗 csprofkgd.github.io 🗓️ Joined Nov 2024
@archernikov.bsky.social
Michael Brin professor of mathematics at the University of Maryland. Mathematical logic, model theory - and connections to combinatorics, algebra, etc. chernikov.me
@laurentdinh.bsky.social
Internet pedestrian. ✨Content creator✨ (ML researcher). ᕕ(ツ)ᕗ (he/him/his) https://laurent-dinh.github.io/
@fragrisoni.bsky.social
Associate Prof | AI for drug discovery | Eindhoven University of Technology | Previously ETH Zurich & UniMiB | she/her 🏳️🌈
@glouppe.bsky.social
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity.
@twkillian.bsky.social
Senior Research Scientist @MBZUAI. Focused on decision making under uncertainty, guided by practical problems in healthcare, reasoning, and biology.
@neuralnoise.com
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
@jmhessel.bsky.social
jmhessel.com NLP PhD; Seattle bike lane enjoyer; posts about machine learning, language processing, computer vision, transit
@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.
@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
@ergodicwalk.bsky.social
Randomly transitioning between information theory, ML, privacy, statistics, and other destinations. Not using \mathbb in a logo.
@papotti.bsky.social
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/
@edoardo-ponti.bsky.social
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.
@sanokows.bsky.social
Ellis PhD Student at JKU Linz working on Diffusion Samplers and combinatorial optimization
@smaglia.bsky.social
Assistant prof in the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal | 🇮🇹🇸🇮 in 🇳🇱 | #UAI2025 program chair https://saramagliacane.github.io/
@claireve.bsky.social
Group Leader in Tübingen, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.
@pseudomanifold.topology.rocks
Dad · Geometry ∩ Topology ∩ Machine Learning Professor at University of Fribourg While #geometry & #topology may not save the world, they may well save something that is homotopy-equivalent to it. 🏠 https://bastian.rieck.me/ 🏫 https://aidos.group
@upicchini.bsky.social
Full Professor at @deptmathgothenburg.bsky.social | simulation-based inference | Bayes | stochastic dynamical systems | https://umbertopicchini.github.io/
@rmcelreath.bsky.social
Anthropologist - Bayesian modeling - organic modem converting poetry into code - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
@maosbot.bsky.social
Parent, spouse, Australian, Professor of Machine Learning in Oxford. Bayesian ML, Long Covid, trans rights, photos of dog, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb
@paulbuerkner.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
@avehtari.bsky.social
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. Also in Mastodon: https://bayes.club/@avehtari
@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
@betanalpha.bsky.social
Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
@eringrant.bsky.social
Senior Research Fellow @ ucl.ac.uk/gatsby & sainsburywellcome.org {learning, representations, structure} in 🧠💭🤖 my work 🤓: eringrant.github.io not active: sigmoid.social/@eringrant @[email protected], twitter.com/ermgrant @ermgrant
@fxbriol.bsky.social
Associate Professor at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
@nolovedeeplearning.bsky.social
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
@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
@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
@canaesseth.bsky.social
Assistant Professor of Machine Learning Generative AI, Uncertainty Quantification, AI4Science Amsterdam Machine Learning Lab, University of Amsterdam https://naesseth.github.io
@alexlew.bsky.social
Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
@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)
@jakhmack.bsky.social
#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
@marvinschmitt.bsky.social
🇪🇺 AI/ML, Member @ellis.eu 🤖 Generative NNs, ProbML, Uncertainty Quantification, Amortized Inference, Simulation Intelligence 🎓 PhD+MSc CS, MSc Psych 🏡 marvinschmitt.github.io ✨ On the job market, DMs open 📩
@lenazellinger.bsky.social
ELLIS PhD student at the University of Edinburgh https://lenazellinger.github.io/
@timrudner.bsky.social
Assistant Professor & Faculty Fellow, NYU. AI Fellow, Georgetown University. Probabilistic methods for robust and transparent ML & AI Governance. Prev: Oxford, Yale, UC Berkeley. https://timrudner.com
@alexalemi.bsky.social
Machine Learning Researcher https://alexalemi.com https://blog.alexalemi.com
@lacerbi.bsky.social
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
@aaronschein.bsky.social
Assistant Professor of Statistics & Data Science at UChicago Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML Proud “golden retriever” 🦮
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com