Ben Eysenbach @ben-eysenbach.bsky.social Assistant professor at Princeton CS working on reinforcement learning and AI/ML.
Site: https://ben-eysenbach.github.io/
Lab: https://princeton-rl.github.io/
Simons Institute for the Theory of Computing @simonsinstitute.bsky.social The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
Adam Cobb @adam-cobb.bsky.social Computer Scientist at SRI. Machine Learning. Uncertainty Quantification.
Jacob Schreiber @jmschreiber91.bsky.social Studying genomics, machine learning, and fruit. My code is like our genomes -- most of it is junk.
Assistant Professor UMass Chan
Previously IMP Vienna, Stanford Genetics, UW CSE.
Justin Kay @justin-kay.bsky.social PhD student at MIT. Machine learning, computer vision, ecology, climate. Previously: Co-founder, CTO Ai.Fish; Researcher at Caltech; UC Berkeley. justinkay.github.io
Ezgi Korkmaz @ezgikorkmaz.bsky.social Machine Learning Researcher, PhD in Machine Learning.
Been at @UCL @GoogleDeepmind @UCBerkeley
✨Website: https://ezgikorkmaz.github.io/
Jan-Ole Fischer @olemole.bsky.social PhD student in Statistics at Bielefeld University interested in doubly stochastic processes and their application to ecology 🦈, sports 🏈 and finance 📈
Website: https://janolefi.github.io
GitHub: https://github.com/janolefi
ELLIS unit Jena @ellisunitjena.bsky.social 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
Rowan Zellers @rowan.bsky.social ai research @ thinking machines . realtime video+voice. i like trains and bikes. sometimes I climb rocks and throw pottery.
@drjoshuabox.bsky.social @drjoshuabox.bsky.social
Mario Krenn @mariokrenn.bsky.social Professor for "Machine Learning in Science", University of Tübingen.
Artificial Intellgence as a source of inspiration in Science.
https://mariokrenn.wordpress.com/
Robert Peharz @ropeharz.bsky.social Assistant prof at TU Graz, formerly assistant prof at TU Eindhoven, Marie-Curie Fellow at University of Cambridge. Probabilistic Machine Learning.
Samuel Kaski @samikaski.bsky.social Probabilistic machine learning and its applications in AI, health, user interaction.
@ellisinstitute.fi, @ellis.eu, fcai.fi, @aifunmcr.bsky.social
Marlos C. Machado @marloscmachado.bsky.social Assistant Professor at the University of Alberta. Amii Fellow, Canada CIFAR AI chair. ML researcher. All things reinforcement learning. Photo by Ampersand Grey.
📍 Edmonton, Canada 🇨🇦
🔗 https://mcmachado.github.io/
🗓️ Joined November, 2024
Johannes Fürnkranz @juffi-jku.bsky.social Researcher Machine Learning & Data Mining, Prof. Computational Data Analytics @jkulinz.bsky.social, Austria.
Dmitry Krotov @krotov.bsky.social I am a physicist working on neural networks (artificial and biological). Find me on dmitrykrotov.com.
Kristian Kersting @kerstingaiml.bsky.social AI Prof at TU Darmstadt, Founding Co-Director Hessian.AI, DFKI, AAAI/EurAI/AAIA/ELLIS Fellow, AAAI24 Ass. PC CoChair, Fmr. PC CoChair UAI, ECML PKDD, Invest. @Aleph__Alpha, Fmr. AI Column German Newspaper Welt (am Sonntag)
@hochreitersepp.bsky.social @hochreitersepp.bsky.social - M Manuel Haussmann @ UAI @manuelhaussmann.eurosky.social Probabilistic {Machine,Reinforcement} Learning and more at SDU
Ex: Aalto University 🇫🇮; Heidelberg University 🇩🇪
Nazaal @nazaal.bsky.social ELLIS PhD student in Machine Learning @Aalto University, Finland
Working on Bayesian experimental design, causality, human-in-the-loop models
Maldivian
nazaal.com
@benediktalkin.bsky.social @benediktalkin.bsky.social PhD student @ Institute for Machine Learning @jkulinz
Aditya Gulati @adigulati.bsky.social ELLIS PhD Student at ELLIS Alicante
Working on Cognitive Biases and AI
Adarsh Kappiyath @adarshk22.bsky.social PhD Student at University of Surrey | Robustness in Machine learning models, Out of Distribution Generalisation | https://kadarsh22.github.io/
Torr Vision Group Oxford @oxfordtvg.bsky.social Torr Vision Group (TVG) In Oxford @ox.ac.uk
We work on Computer Vision, Machine Learning, AI Safety and much more
Learn more about us at: https://torrvision.com
Gautam Singh @singhgautam.bsky.social ML Postdoc @ Lawrence Livermore National Lab • System 2 Thinking in Machines • Past: NVIDIA Research, Amazon, IBM Research • B.Tech. IIT Guwahati • PhD @RutgersCS with Sungjin Ahn
Mona Schirmer @monaschir.bsky.social PhD candidate @amlab.bsky.social @ellis.eu
Probabilistic Machine Learning | Sequence Models
Igor Gilitschenski @igilitschenski.bsky.social Assistant Professor in Computer Science at UofT.
Clem Delangue 🤗 @clem.hf.co Co-founder and CEO at Hugging Face
Benjamin Minixhofer @bminixhofer.bsky.social
Julian Rodemann @jurodemann.bsky.social http://www.julian-rodemann.de | PostDoc CISPA Helmholtz | prev. PhD in statistics @LMU_Muenchen | VRS @HarvardStats
Michael Kirchhof @mkirchhof.bsky.social RS on uncertainty quantification for agents at Apple
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.
claudia shi @claudiashi.bsky.social machine learning, causal inference, science of llm, ai safety, phd student @bleilab, keen bean
https://www.claudiashi.com/
Erich Kobler @koblererich.bsky.social Ass. Prof. Machine/Deep Learning in Medical Imaging | JKU Linz
Yuli Slavutsky @yulislavutsky.bsky.social Stats Postdoc at Columbia, @bleilab.bsky.social
Statistical ML, Generalization, Uncertainty, Empirical Bayes
https://yulisl.github.io/
Adrian Arnaiz @adri-arnaiz.bsky.social Postdoc at @ellisalicante.org
🎓 PhD in CS at @ellis.eu Alicante
⚖️ Algorithmic Fairness and Trustworthy AI
🕸️ Graph Neural Networks
🌐 adrianarnaiz.me
Conference on Language Modeling @colmweb.org The 2025 Conference on Language Modeling will take place at the Palais des Congrès in Montreal, Canada from October 7-10, 2025
Website: colm.cc
**This account is updated intermittently / DMs are not monitored**
NeSy 2026 Conference @nesyconf.org 20th International conference on Neurosymbolic Learning and Reasoning
University of Lisbon, Lisbon, Portugal
1 to 4 September 2026
https://nesy-ai.org/
https://2026.nesyconf.org
ICLR Conference @iclr-conf.bsky.social International Conference on Learning Representations https://iclr.cc/
NeurIPS Conference @neuripsconf.bsky.social San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
ACL 2027 @aclmeeting.bsky.social The Association for Computational Linguistics (ACL) is a scientific and professional organization for people working on Natural Language Processing/Computational Linguistics.
Hash tags: #NLProc #ACL2027NLP
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/
uai2026 @auai.org Association for Uncertainty in AI.
Upcoming conference: #uai2026 August 17-21 in Amsterdam, Netherlands! 🇳🇱
https://auai.org/uai2026
AMLab @amlab.bsky.social The official account of the Amsterdam Machine Learning Lab (AMLab) at UvA, co-directed by Max Welling and Jan-Willem van de Meent.
Natasha Butt @natashabutt.bsky.social PhD student at the University of Amsterdam
Advised by Max Welling and Jan-Willem van de Meent
Leon Lang @leon-lang.bsky.social PhD Candidate at the University of Amsterdam. AI Alignment and safety research. Formerly multivariate information theory and equivariant deep learning. Masters degrees in both maths and AI. https://langleon.github.io/
Rajeev Verma @rajevv.bsky.social hoping this is the old gold twitter | PhD student at @amlab.bsky.social working on the foundations of machine learning | rajevv.github.io
Mátyás Schubert @matyasch.bsky.social PhD in causal machine learning @amlab.bsky.social
Cong Liu @congliu.bsky.social PhD student @ AMLab interested in Geometric Deep Learning, AI4Science, generative models on Molecules / Protein
David R. Wessels @dafidofff.bsky.social PhD candidate w/ @erikjbekkers & @egavves interested in Geometric Deep Learning and Generative Modelling at @AMLab & @ellogonai
github.com/Dafidofff
@mariuscaptari.bsky.social @mariuscaptari.bsky.social PhD candidate at AMLab
Erik Bekkers @erikjbekkers.bsky.social AMLab, Informatics Institute, University of Amsterdam. ELLIS Scholar. Geometry-Grounded Representation Learning. Equivariant Deep Learning.
Olga Zaghen @olgatticus.bsky.social MSCA PhD student at AMLab with Erik Bekkers, interested in geometric deep learning, generative models and their intersection 🌐 ✨
bit.ly/olga-zaghen
Jacobus Dijkman @jdijkman.bsky.social Infusing statistical physics with machine learning to describe molecular fluids.
PhD Candidate at UvA with Max Welling, Jan-Willem van de Meent and Bernd Ensing.
Alejandro García @algarciacast.bsky.social PhD candidate at @amlab.bsky.social focusing on Geometry-informed Machine Learning 🤖 https://agarciacast.github.io
Sharvaree Vadgama @sharvaree.bsky.social PhD student at @amlab.bsky.social
Geometric deep learning + Generative modeling.
🇳🇱🇺🇸🇮🇳
Organizer @gram-org.bsky.social and @scifordl.bsky.social workshop
📍 Amsterdam/SF
Grigory Bartosh @gbarto.bsky.social PhD candidate at AMLab, UvA. Diffusion Models, Generative Models, Deep Learning.
grigorybartosh.github.io
Max Zhdanov @maxxxzdn.bsky.social PhD candidate at AMLab with Max Welling and Jan-Willem van de Meent.
Research in physics-inspired and geometric deep learning.
Sara Magliacane hiring PhDs at UvA @smaglia.bsky.social Full prof at @uni-saarland.de & part of @amlab.bsky.social at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal |
🇮🇹🇸🇮 in 🇩🇪🇳🇱
#UAI2026 general chair
https://saramagliacane.github.io/
@zmheiko.bsky.social @zmheiko.bsky.social
Floor Eijkelboom @eijkelboomfloor.bsky.social PhD candidate at University of Amsterdam | Physics-Informed Generative Modeling
@mvmacfarlane.bsky.social @mvmacfarlane.bsky.social PhD Candidate @AmlabUvA working on Reinforcement Learning , Search and Adaptive Computation | visiting researcher at the University of Alberta @rlai_lab
T. Anderson Keller @andykeller.bsky.social Postdoctoral Fellow at Harvard Kempner Institute. Trying to bring natural structure to artificial neural representations. Prev: PhD at UvA. Intern @ Apple MLR, Work @ Intel Nervana
Ben Miller @bkmi.bsky.social FAIR Chemistry. Simulation-based Inference.
Nabil Iqbal @nabiliqbal.bsky.social theoretical physics. normally professing at durham u. currently machine learning at amlab at university of amsterdam. www.nabiliqbal.com
Rob Romijnders @robrom.bsky.social
Sindy Löwe @sindylowe.bsky.social ML Scientist @CuspAI | Innovating for a greener future 🌱
Babak Esmaeili @bobsmiley.bsky.social Postdoc @TUeindhoven
@eeevgen.bsky.social @eeevgen.bsky.social
Artem Moskalev @artemmoskalev.bsky.social Re-imagining drug discovery with AI 🧬. Deep Learning ⚭ Geometry. Previously PhD at the University of Amsterdam. https://amoskalev.github.io/
Austin Tripp @austinjtripp.bsky.social (ML ∪ Bayesian optimization ∪ active learning) ∩ (drug discovery)
Researcher @valenceai.bsky.social
Details: austintripp.ca
Mathieu Alain @miniapeur.bsky.social Gradient surfer at UCL. FR, EN, also trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦. Also on Twitter.
Chengkun Li @chengkunli.bsky.social Probabilistic machine learning, Bayesian computation, and computer vision
PhD in Computer Science
📍Helsinki, Finland
https://pipme.github.io/
Thomas Wiecki @twiecki.bsky.social That PyMC guy
Chad Scherrer @cscherrer.bsky.social Doing Bayesian stuff in #rustlang and #julialang. Seattle
Will Kurt @willkurt.bsky.social "The idea of an environment scarcely makes any sense since you can never draw a boundary line that would distinguish an organism from what surrounds it." - Bruno Latour
@psteinb.bsky.social @psteinb.bsky.social Using Machine Learning for Matter Research @helmholtzai.bsky.social
Samuel Müller @sammuller.bsky.social (Tab)PFNs, TrivialAugment etc.
CSML IIT Lab @pontilgroup.bsky.social Computational Statistics and Machine Learning (CSML) Lab | PI: Massimiliano Pontil | Webpage: csml.iit.it | Active research lines: Learning theory, ML for dynamical systems, ML for science, and optimization.
Daolang Huang @huangdaolang.bsky.social PhD student at Aalto University 🇫🇮
Probabilistic ML, amortized inference.
See more at huangdaolang.com
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/
Paul Bürkner @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
Aki Vehtari @avehtari.bsky.social Professor in computational Bayesian modeling, Aalto University, Finland. Co-author of Bayesian Data Analysis 3rd ed, Regression and Other Stories, Active Statistics and Bayesian Workflow. #mcmc_stan and #arviz developer.
https://users.aalto.fi/ave/
Michael "Shapes Dude" Betancourt @betanalpha.bsky.social Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
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
François-Xavier Briol @fxbriol.bsky.social Professor of Statistics and Machine Learning at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
antonio vergari ⚔️ short-circuiting @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
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
Christian A. Naesseth @canaesseth.bsky.social Assistant Professor of Machine Learning
Generative AI, Uncertainty Quantification, AI4Science
Amsterdam Machine Learning Lab, University of Amsterdam
https://naesseth.github.io
Alex Lew @alexlew.bsky.social Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
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.
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
Lena Zellinger @lenazellinger.bsky.social ELLIS PhD student at the University of Edinburgh working on guarantees for approximate inference
@rogergrosse.bsky.social @rogergrosse.bsky.social
Alex Alemi @alexalemi.bsky.social Machine Learning Researcher
https://alexalemi.com
https://blog.alexalemi.com
Aaron Schein @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” 🦮
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.
Tycho van der Ouderaa @tychovdo.bsky.social Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
Desi R Ivanova @desirivanova.bsky.social Research fellow @OxfordStats @OxCSML, spent time at FAIR and MSR
Former quant 📈 (@GoldmanSachs), former former gymnast 🤸♀️
My opinions are my own
🇧🇬-🇬🇧 sh/ssh