Luigi Acerbi
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
@tsarpf.bsky.social
CS/ML PhD research in high-dimensional time-series @helsinki.fi Before: 7y of C++/JS/VR/AR/ML at Varjo, Yle, Reaktor, Automattic ... After dark: synthesizers & 3D gfx
@ryzhang.bsky.social
PhD student in Computational Statistics and Machine Learning at STOR-i CDT, Lancaster University, UK. Research Interests: Sampling Algorithms, Bayesian Experiment Designs, Neural Amortization. https://shusheng3927.github.io/
@mschauer.bsky.social
Statistician, Associate Professor (Lektor) at University of Gothenburg and Chalmers; inference and conditional distributions for anything https://mschauer.github.io http://orcid.org/0000-0003-3310-7915 [ˈmoː/r/ɪts ˈʃaʊ̯ɐ]
@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
@hpesonen.bsky.social
Researcher at Oslo Centre for Biostatistics and Epidemiology. Likelihood-free inference|Statistical modelling|Often Bayesian|Open source software development
@santiagoc3.bsky.social
Starting my Lab at the Centre for Complexity Sciences (Centro de Ciencias de la Complejidad, C3, UNAM).
@teemuroos.bsky.social
Your friendly neighborhood AI Professor, University of Helsinki • Lead Instructor of the Elements of AI online course • AI, machine learning, education, science comms • geek, runner, foodie #MLsky #dataBS
@jbarbosa.org
Junior PI @ INM (Paris) in computational neuroscience, interested in how computations enabling cognition are distributed across brain areas. Expect neuroscience and ML content. jbarbosa.org
@ppjgoncalves.bsky.social
Computational Neuroscience and Machine Learning. Group Leader at VIB-NERF (https://nerf.be/en#/) and Associate Professor at KU Leuven (https://www.kuleuven.be/english/kuleuven). More details at goncalveslab.sites.vib.be
@spectral.space
PhD student at UCL. Working on Gaussian Processes. I love everything mathy, videogames, and language. 🇧🇷 He/Ele/Él Also as @[email protected]
@somnirons.bsky.social
Computational neuroscientist bringing machine and neural learning closer together @ox.ac.uk @oxforddpag.bsky.social 🇵🇹🇪🇺🇬🇧🌳 neuralml.github.io
@jmxpearson.bsky.social
Computational neuroscience, neuroML, natural behavior. I charge more for miracles. PI @ pearsonlab.github.io. @dukemedschool.bsky.social.
@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/
@paulmasset.bsky.social
Assistant Professor, McGill University | Affiliate Member, Mila - Quebec AI Institute | Neuroscience and AI, learning and inference, dopamine and cognition https://www.mcgill.ca/psychology/paul-masset
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@auai.org
Association for Uncertainty in AI. Upcoming conference: #uai2025 July 21-25th in Rio de Janeiro, Brazil 🇧🇷 ! https://auai.org/uai2025
@markonardini.bsky.social
Prof at @durham-university.bsky.social Psychology, UK - research on multisensory perception & cognition, learning & development markonardini.webspace.durham.ac.uk
@chengkunli.bsky.social
PhD student, University of Helsinki Working on Bayesian computation https://pipme.github.io/
@chrisgorgo.bsky.social
@huangdaolang.bsky.social
PhD student at Aalto University 🇫🇮 Probabilistic ML, amortized inference. See more at huangdaolang.com
@mathurinmassias.bsky.social
Tenured Researcher @INRIA, Ockham team. Teacher @Polytechnique and @ENSdeLyon Machine Learning, Python and Optimization
@bethgelab.bsky.social
Machine Learning and Neuroscience Lab @ Uni Tuebingen, PI: Matthias Bethge, bethgelab.org
@deisenroth.bsky.social
Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him
@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
@inference.vc
Secular Bayesian. Professor of Machine Learning at Cambridge Computer Lab Talent aficionado at http://airetreat.org Alum of Twitter, Magic Pony and Balderton Capital
@davidduvenaud.bsky.social
Machine learning prof at U Toronto. Working on evals and AGI governance.
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@tedunderwood.me
Uses machine learning to study literary imagination, and vice-versa. Likely to share news about AI & computational social science / Sozialwissenschaft / 社会科学 Information Sciences and English, UIUC. Author of Distant Horizons (Chicago, 2019). Pluviophile.
@danilojrezende.bsky.social
VP of AI Research, Principal Scientist @ EIT Oxford | ex-Director @ DeepMind Building models to accelerate fundamental sciences and medicine. Opinions my own. https://danilorezende.com/
@sbubeck.bsky.social
I work on AI at OpenAI. Former VP AI and Distinguished Scientist at Microsoft.
@ahonkela.bsky.social
Prof of machine learning at University of Helsinki. Interested in (differential) privacy and open source software.
@serge.belongie.com
Professor, University Of Copenhagen 🇩🇰 PI @belongielab.org 🕵️♂️ Director @aicentre.dk 🤖 Board member @ellis.eu 🇪🇺 Formerly: Cornell, Google, UCSD #ComputerVision #MachineLearning
@jeffclune.com
Professor, Computer Science, University of British Columbia. CIFAR AI Chair, Vector Institute. Senior Advisor, DeepMind. ML, AI, deep RL, deep learning, AI-Generating Algorithms (AI-GAs), open-endedness.
@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/
@chris-drovandi.bsky.social
@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” 🦮
@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
@loreloc.bsky.social
#probabilistic-ml #circuits #tensor-networks PhD student @ University of Edinburgh https://loreloc.github.io/
@emilevankrieken.com
Post-doc @ University of Edinburgh. Neurosymbolic Machine Learning, Generative Models, NLP https://www.emilevankrieken.com/
@benvincent.bsky.social
Data Scientist | Bayes | Causal reasoning | Python + Julia | Ex-academic | #MMT drbenvincent.github.io
@guyvdb.bsky.social
🎓 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/
@alexxthiery.bsky.social
Associate Prof. in ML & Statistics at NUS 🇸🇬 MonteCarlo methods, probabilistic models, Inverse Problems, Optimization https://alexxthiery.github.io/
@cocoscilab.bsky.social
Tom Griffiths' Computational Cognitive Science Lab at Princeton. Studying the computational problems human minds have to solve.
@marcelbinz.bsky.social
Natural and artificial general intelligence. https://marcelbinz.github.io/
@mackelab.bsky.social
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