David Debot
PhD student @dtai-kuleuven.bsky.social in neurosymbolic AI and concept-based learning
https://daviddebot.github.io/
@xkcd.com
@leuvenai.bsky.social
The KU Leuven Institute for Artificial Intelligence - website: https://ai.kuleuven.be/ - stories: https://ai.kuleuven.be/stories/ - jobs: https://ai.kuleuven.be/job-opportunities
@mdlhx.bsky.social
NLP assistant prof at KU Leuven, PI @lagom-nlp.bsky.social. I like syntax more than most people. Also multilingual NLP, interpretability, mountains and beer. (She/her)
@gmvandeven.bsky.social
Researcher on continual learning, taking a deep learning as well as cognitive science perspective. At KU Leuven, Belgium.
@steinaerts.bsky.social
Computational biologist interested in deciphering the genomic regulatory code at vib.ai
@gavclaw.bsky.social
Geert is a practising lawyer and full professor at KU Leuven, and a visiting prof i.a. at Monash University, Melbourne. Mostly law. Just law. Blogs at www.gavclaw.com
@masssimons.bsky.social
Assistant Prof. in Philosophy of Technology Maastricht University, fascinated by #synbio, #experimentation, #historicalepistemology, #HOPOS, #HOPOT, #sciencefiction and #conspiracytheory - he/him
@ristouuk.bsky.social
Head of EU Policy and Research at the Future of Life Institute | PhD Researcher at KU Leuven | Systemic risks from general-purpose AI
@nathaliesmuha.bsky.social
Law & Ethics of Digital Tech at KU Leuven & NYU Law. Focus on AI & Human Rights, Democracy, Rule of Law. Author of 'Algorithmic Rule By Law' (CUP, 2025). Previously at EU Commission, AI HLEG, Council of Europe's CAHAI.
@steflhermitte.bsky.social
Associate professor @KULeuven+TUDelft 🛰 remote sensing of ❄️🌦🏔 🌲 | big data & machine learning mapplications | digital twins 🌍 🌐
@evrimtan.bsky.social
Political scientist- public administration, emerging technologies, blockchain, AI, decentralization
@pieter.ai
LLM engineer at Aleph Alpha | 👨💻 Fairness in LLMs and Dutch NLP | Prev. apple, PhD & postdoc from KU Leuven pieter.ai
@albertvilella.bsky.social
Bioinformatics Scientist / Next Generation Sequencing, Single Cell and Spatial Biology, Next Generation Proteomics, Liquid Biopsy, SynBio, Compute Acceleration in biotech // http://albertvilella.substack.com
@neuripsconf.bsky.social
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15. https://neurips.cc/
@juand-r.bsky.social
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/
@karltuyls.bsky.social
Research Scientist, Entrepreneur - Ex: Team Lead @ DeepMind and @GoogleDeepMind. Also CS professor (Liverpool/Leuven) and LFC fan.
@sharky6000.bsky.social
Research Scientist at Google DeepMind, interested in multiagent reinforcement learning, game theory, games, and search/planning. Lover of Linux 🐧, coffee ☕, and retro gaming. Big fan of open-source. #gohabsgo 🇨🇦 For more info: https://linktr.ee/sharky6000
@haldaume3.bsky.social
Human-centered AI #HCAI, NLP & ML. Director TRAILS (Trustworthy AI in Law & Society) and AIM (AI Interdisciplinary Institute at Maryland). Formerly Microsoft Research NYC. Fun: 🧗🧑🍳🧘⛷️🏕️. he/him.
@ned.sh
Data science, AI/ML, analytics, visualisation. Naarm/Melbourne @thoughtworks, #dataBS, #Python, #NLP, #DuckDB, & assorted whimsical miscellania
@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
@cmaddis.bsky.social
Asst. Prof. in Machine Learning at UofT. #LongCOVID patient. https://www.cs.toronto.edu/~cmaddis/
@canaesseth.bsky.social
Assistant Professor of Machine Learning Generative AI, Uncertainty Quantification, AI4Science Amsterdam Machine Learning Lab, University of Amsterdam https://naesseth.github.io
@sejdino.bsky.social
Professor of Statistical Machine Learning at the University of Adelaide. https://sejdino.github.io/
@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
@mvdw.bsky.social
Associate Professor in Machine Learning at the University of Oxford. Interested in automatic inductive bias selection using Bayesian tools.
@mgorinova.bsky.social
ex-@TwitterCortex @Birdwatch 💙 | Now LLMs for innovation & IP 🚀 | PhD in probabilistic machine learning, loyal servant to a cat, collector of random variables, lover of well-placed puns https://mgorinova.github.io/
@maosbot.bsky.social
Parent, spouse, Australian, cyclist, Professor of Machine Learning in Oxford. Bayesian ML, Long Covid, photos of dog, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb
@tychovdo.bsky.social
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
@vincefort.bsky.social
PI at Helmholtz AI, Faculty at TU Munich, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar. Prev: Cambridge CBL, St John's College, ETH Zürich, Google Brain, Microsoft Research, Disney Research. https://fortuin.github.io/
@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)
@willieneis.bsky.social
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs. https://willieneis.github.io
@karen-ullrich.bsky.social
Research scientist at FAIR NY ❤️ Machine Learning + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
@mgollub.bsky.social
🧬💻 | Director of Machine Learning @jura.bsky.social | Probabilistic models, ML, Molecular biology, Immune receptors.
@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 📩
@olegranmo.bsky.social
AI Professor and Founding Director @ https://cair.uia.no | Chair of Technical Steering Committee @ https://www.literal-labs.ai | Book: https://tsetlinmachine.org
@sethaxen.com
Empowering scientists with machine learning @mlcolab.org. Sometimes #Bayesian. Usually #FOSS. Preferably in #JuliaLang. Expat: 🇺🇸 ➡️ 🇩🇪 💼 On the job market (remote/Stuttgart area) sethaxen.com
@idris1.bsky.social
Johns Hopkins CS PhD student. #MedicalRobotics #ComputerVision #DeepLearning #Guitar
@nicolabranchini.bsky.social
🇮🇹 Stats PhD @ University of Edinburgh 🏴 @ellis.eu PhD - visiting @avehtari.bsky.social 🇫🇮 🤔💭 about uncertainty quantification. Interested in sampling/transport methodologies, applications in climate/science. https://www.branchini.fun/about
@velezbeltran.bsky.social
Machine Learning PhD Student @ Blei Lab & Columbia University. Working on probabilistic ML | uncertainty quantification | LLM interpretability. Excited about everything ML, AI and engineering!