Stas Syrota

staff writer @theatlantic.com and senior fellow @snfagora.bsky.social. author of GULAG, IRON CURTAIN, RED FAMINE, TWILIGHT OF DEMOCRACY and AUTOCRACY INC https://linktr.ee/anneapplebaum

PhD Candidate at Institute of AI in Management, LMU Munich causal machine learning, causal inference

Senior Staff Research Scientist @Google DeepMind, former Chair Prof @Oxford Uni

PhD Student in Social Data Science, University of Copenhagen AI & Society | Algorithmic Fairness | ML | Education Data Science https://tereza-blazkova.github.io/

CS PhD student at UT Austin in #NLP Interested in language, reasoning, semantics and cognitive science. One day we'll have more efficient, interpretable and robust models! Other interests: math, philosophy, cinema https://www.juandiego-rodriguez.com/

Strengthening Europe's Leadership in AI through Research Excellence | ellis.eu

Postdoc @ Technical University of Munich | Intern @ Qualcomm AI Research | PhD @ University of Twente | Neural operators for cardiovascular flow

PhD student in machine learning at DTU, Copenhagen. Especially interested in model representations.

LOGML (London Geometry and Machine Learning) aims to bring together mathematicians and computer scientists to collaborate on a variety of problems at the intersection of geometry and machine learning.

For more AI&Tech content, check here www.luok.ai 🍎Apple Die Hard Fan｜ 苹果骨灰粉 🤖GenAI Observer ｜ GenAI观察者 👨🏻‍🎤Cutting Edge Tech Enthusiast ｜ 科技爱好者

Research director | @McGillU @Mila_Quebec @IVADO_Qc | My team designs machine learning frameworks to understand biological systems from new angles of attack

Asst. Prof. University of Amsterdam, rock climber, husband, father. Model-based (Mathematical) Cognitive Neuroscientist. I study decision-making, EEG, 🧠, statistical methods, etc. 🇺🇦🇪🇺

Full Professor at @deptmathgothenburg.bsky.social | simulation-based inference | Bayes | stochastic dynamical systems | https://umbertopicchini.github.io/

Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.

Using deep learning to study neural dynamics @mackelab.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/

Amortized Bayesian Workflows in Python. 🎲 Post author sampled from a multinomial distribution, choices ⋅ @marvin-schmitt.com ⋅ @paulbuerkner.com ⋅ @stefanradev.bsky.social 🔗 GitHub github.com/bayesflow-org/bayesflow 💬 Forum discuss.bayesflow.org

PhD Student at MPI-IS working on ML for Gravitational Waves | #MLforPhysics #SBI https://www.annalenakofler.com

Assistant Professor at Rensselaer Polytechnic Institute (RPI) Bayesian | Computational guy | Name dropper | Deep learner | Book lover Opinions are my own.

Postdoctoral Researcher at University of Basel Interested in Cognitive Modeling | Decision Making | Dynamics in Cognition | Amortized Bayesian Inference | Superstatistics

Doctoral researcher at Aalto University Simulation-based Inference yugahikida.github.io

Black holes, gravitational waves, and AI. UKRI Future Leaders Fellow @ University of Nottingham. https://www.stephenrgreen.com/

High Energy Physics/Machine Learning/Data Science Prof @tum.de www.lukasheinrich.com

W1 (Assistant) Professor of CS & Math at Goethe University Frankfurt. AI x neuroscience. 🌊 https://www.gao-unit.com/

Physics + Machine Learning Scientist at SLAC National Laboratory at Stanford

CEO of KI macht Schule gGmbH Previously @mackelab.bsky.social - machine learning in (neuro)science.

We build probabilistic #MachineLearning and #AI Tools for scientific discovery, especially in Neuroscience. Probably not posted by @jakhmack.bsky.social. 📍 @ml4science.bsky.social‬, Tübingen, Germany

Researcher at appliedAI Institute for Europe. Working on simulation-based inference and responsible ML

PhD student at @mackelab.bsky.social - machine learning & geoscience.

PostDoc Tübingen @mackelab.bsky.social 🇩🇪 PhD Uppsala 🇸🇪 MSc Delft 🇳🇱 Machine learning for science dgedon.github.io

Approximate Bayesian at Bristol University

PhD student at QUT in computational Bayesian statistics simulation-based inference | generative modelling | robust ML

Researcher at Anthropic. Based in SF. Likes cats. smsharma.github.io.

Computational Neuroscience and Machine Learning. Group Leader at VIB.AI (vib.ai/en) and Associate Professor at KU Leuven (www.kuleuven.be/english/kuleuven). Affiliated with VIB-KUL CN (vibneuroscienceleuven.be). More details at goncalveslab.sites.vib.be

Senior Lecturer in Statistical Data Science at QUT in Mathematics. I do inference in ecology and biology. Stochastic modelling and Bayesian computation. Opinions=mine

Assistant professor in applied statistics at Tampere University Likelihood-free inference|Statistical modelling|Often Bayesian|Open source software development

PhD student working on simulation-based inference under the supervision of @glouppe .

Assistant Professor in School of Physics @ GT Physics ∩ AI AI Policy

AI on Graphs, Networks, Topologies 👩🏻‍💻🌎| PhD @Cambridge_Eng @Cambridge_Uni | MSc @CompSciOxford @UniofOxford I Prev @FCC_study, @CMSExperiment, AWAKE @CERN

Ph.D. Student, Software Engineer, Deep Learning Researcher

Reader in Statistics at the University of Warwick | Inference for Stochastic processes | Simulation-based inference| Stochastic Numerics | Parallel-in-time numerical methods| Stochastic Modelling | Neuroscience | www.warwick.ac.uk/tamborrino

Industrial PhD Student @ Laerdal.com & DTU.dk, research in efficient machine learning, edge deployment and model compression

PhD student at the Section for Cognitive Systems, Technical University of Denmark

Machine Learning PhD Student at DTU Compute https://h-roy.github.io/

Probabilistic numerics, differentiable linear algebra, and a healthy dose of figure-making. https://pnkraemer.github.io/

Postdoc in machine learning at the Technical University of Denmark (DTU) 🇩🇰. PhD from DTU 🇩🇰. Spent time at Cambridge CBL 🇬🇧, UBC 🇨🇦, and University of Padova 🇮🇹. https://federicobergamin.github.io/

web: http://maxim.ece.illinois.edu substack: https://realizable.substack.com

Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/

@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io

Cofounder & CTO @ Abridge, Raj Reddy Associate Prof of ML @ CMU, occasional writer, relapsing 🎷, creator of d2l.ai & approximatelycorrect.com

Head of the Centre for Artificial Intelligence, DS&AI, Biopharma R&D, AstraZeneca Views are my own

Speech • Language • Learning https://grzegorz.chrupala.me @ Tilburg University

He teaches information science at Cornell. http://mimno.infosci.cornell.edu

Climate & AI Lead @HuggingFace, TED speaker, WiML board member, TIME AI 100 (She/her/Dr/🦋)

AI + security at AISLE | Stanford PhD in AI & Cambridge physics | scientific progress

Research Scientist at GDM. Statistician. Mostly work on Responsible AI. Academia-industry flip-flopper.

machine learning and artificial intelligence | University of Chicago / Google

Machine learning researcher. Professor in ML department at CMU.

Secular Bayesian. Professor of Machine Learning at Cambridge Computer Lab Talent aficionado at http://airetreat.org Alum of Twitter, Magic Pony and Balderton Capital

Assistant Professor @UWaterloo Statistics and @VectorInst | Prev: Postdoc @Princeton PhD @UofTStatSci https://mufan-li.github.io/

Sr. Principal Research Manager at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // http://jennwv.com

Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him

Recently a principal scientist at Google DeepMind. Joining Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamical systems.

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, 🐎 🎶

Internet pedestrian. Machine learning mercenary. ᕕ(ツ)ᕗ (he/him/his) https://laurent-dinh.github.io/

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).

Associate Prof | AI for drug discovery | Eindhoven University of Technology | Previously ETH Zurich & UniMiB | she/her 🏳️‍🌈

AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.github.io

🎓 CS Prof at UCLA 🧠 Researching reasoning and learning in artificial intelligence: tactable deep generative models, probabilistic circuits, probabilistic programming, neurosymbolic AI https://web.cs.ucla.edu/~guyvdb/

Director Data Science Institute @UWMadison, Professor of Physics, EiC @MLSTjournal. Physics, stats/ML/AI, open science.

#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

ML + Physics + Health at . Exploring the interaction between scientific and ML models.

web @ https://argmin.xyz interests: machine learning, ai4science, algorithms, coding member of technical staff @ https://cusp.ai past @ MSR, DeepMind, MPI-IS home @ Heimbach (Gilserberg), Berlin, Europe born @ 353 ppm block toxicity he/him

Ph.D. student on generative models and domain adaptation for Earth observation 🛰 Previously intern @SonyCSL, @Ircam, @Inria 🌎 Personal website: https://lebellig.github.io/

Machine Learning, {Org, Med, Comp} Chem, RL/Planning, AI-assisted Scientific Discovery & Creativity, Music. ELLIS Scholar. Team Lead at Microsoft Research AI for Science. 2xDad

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

research scientist at google deepmind. phd in neural nonsense from stanford. poolio.github.io

Anthropologist from UniCPH and MS student in Machine Learning at Techincal University of Denmark. Apart from uncertainty in modelling, I care a lot about regenerative farming and food. You can also find me here: https://www.linkedin.com/in/simoneiriksson

Postdoc @nunetsi.bsky.social (Northeastern Uni) 🎓 Computational Social Science 👾 ✨ work on stability of belief in LLMs & Human-AI Collaboration 🌿 he/him 🇱🇻 🇺🇦 | www.savcisens.com

Professor, Computer Science, University of Copenhagen. Founder Component AI.

Professor at DTU Management | Section for Human-Centered Engineering | Head of @echodtu.bsky.social 🗺️ controversy mapping 🤖 computational anthropology 🚒 technological problems in society #digitalmethods #sts #dkforsk Book: https://bit.ly/contrmap

Computer Vision & Machine Learning 📍 Pioneer Centre for AI, University of Copenhagen 🌐 https://www.belongielab.org

University of Copenhagen Natural Language Understanding research group Faculty: @iaugenstein.bsky.social @apepa.bsky.social #NLProc #ML #XAI

PhD student, University of Copenhagen NLP, misinformation, media framing, hatespeech, cultural values, CSS, Pol Comm, AI ethics | he/him. https://scholar.google.com/citations?user=EQUUUUoAAAAJ&hl=en

Assistant Professor at Department of Computer Science, University of Copenhagen. Cross-cultural Natural Language Processing, food and positive impact are my passion. Dad, kendoka and language learner. danielhers.github.io

Interested in aging, neuroimaging, and machine learning. PhD student at Karolinska Institutet, NRU Rigshospitalet, and DIKU UCPH