Joshua Loyal
Assistant Professor in Statistics at FSU | Former Data Scientist at DataRobot | Former Particle Physicist at CERN
@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/
@gabrielpeyre.bsky.social
@aliciacurth.bsky.social
Machine Learner by day, 🦮 Statistician at ❤️ In search of statistical intuition for modern ML & simple explanations for complex things👀 Interested in the mysteries of modern ML, causality & all of stats. Opinions my own. https://aliciacurth.github.io
@mguindani.bsky.social
Statistician. Bayesian. Professor, Department of Biostatistics, University of California, Los Angeles. Views are my own. He/Him.
@darrenjw.bsky.social
Professor of Statistics, Bayesian, computational systems biologist and functional programmer, https://darrenjw.github.io/
@sebastianober.bsky.social
Senior ML Scientist I at BigHat Biosciences. Previously: AstraZeneca, Secondmind, PhD student & Gates Cambridge Scholar at CBL in Cambridge. Views are my own.
@bayesianstats.bsky.social
Posts about Bayesian statistics, Monte Carlo, etc from a Reader in Statistics at the University of Warwick https://bsky.app/profile/warwickstats.bsky.social. Personal account. https://richardgeveritt.github.io/
@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
@silviasellan.bsky.social
Incoming Assistant Professor of Computer Graphics and Geometry Processing at Columbia University www.silviasellan.com
@dbindel.bsky.social
Professing computing and applied math at Cornell. Numerical methods for data science, plasma physics, other stuff depending on the day. Director, Cornell Center for Applied Mathematics; Director, Simons Collaboration on Hidden Symmetries and Fusion Energy.
@jameshensman.bsky.social
Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
@theo-brown.bsky.social
PhD student UCL / UKAEA | Probabilistic ML | Safe control | Nuclear fusion
@thomas-pinder.bsky.social
Bayesian statistics, Gaussian processes, and all things ML. Senior Applied Scientist at Amazon and developer of GPJax.
@jwenger.bsky.social
Postdoctoral Research Scientist in Statistics at Columbia University
@pnkraemer.bsky.social
Probabilistic numerics, differentiable linear algebra, and a healthy dose of figure-making. https://pnkraemer.github.io/
@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
@miniapeur.bsky.social
Gradient surfer at UCL. FR, EN, also trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦. Also on Twitter.
@austinjtripp.bsky.social
(ML ∪ Bayesian optimization ∪ active learning) ∩ (drug discovery) Researcher @valenceai.bsky.social Details: austintripp.ca
@arnosolin.bsky.social
Assistant Professor in Machine Learning, Aalto University. ELLIS Scholar. http://arno.solin.fi
@zhidilin.bsky.social
Research Fellow @NUS 🇸🇬 | Machine Learning | Generative Models | Bayesian Inference 🌐 https://zhidi-lin.github.io/
@kontoyiannis.bsky.social
Information theory, probability, statistics. Churchill Professor of Mathematics of Information @UofCambridge: dpmms.cam.ac.uk/person/ik355/ 🧮 #MathSky 🧪 #Science [used to be @yiannis_entropy at the other place]
@lucamb.bsky.social
Assistant professor in Machine Learning and Theoretical Neuroscience. Generative modeling and memory. Opinionated, often wrong.
@arxiv-stat-me.bsky.social
Statistics -- Methodology (stat.ME) source: export.arxiv.org/rss/stat.ME maintainer: @tmaehara.bsky.social
@yoshuabengio.bsky.social
Full professor at UdeM, Founder and Scientific Advisor at Mila - Quebec AI Institute, A.M. Turing Award Recipient. Working towards the safe development of AI for the benefit of all. Website and blog: https://yoshuabengio.org/
@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
@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
@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
@mvdw.bsky.social
Associate Professor in Machine Learning at the University of Oxford. Interested in automatic inductive bias selection using Bayesian tools.
@deisenroth.bsky.social
Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him
@mrattray.bsky.social
Professor of Computational & Systems Biology at University of Manchester. Applies machine learning and modelling to help understand the complexity of biology. idsai.manchester.ac.uk, https://www.ellismcr.org, @official-uom.bsky.social
@bethgelab.bsky.social
Machine Learning and Neuroscience Lab @ Uni Tuebingen, PI: Matthias Bethge, bethgelab.org
@ahonkela.bsky.social
Prof of machine learning at University of Helsinki. Interested in (differential) privacy and open source software.
@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
@kldivergence.bsky.social
Research Scientist at GDM. Statistician. Mostly work on Responsible AI. Academia-industry flip-flopper.
@jennwv.bsky.social
Sr. Principal Researcher 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 // More at http://jennwv.com
@philipphennig.bsky.social
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
@spmontecarlo.bsky.social
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him). Homepage: https://sites.google.com/view/sp-monte-carlo Seminar: https://sites.google.com/view/monte-carlo-semina
@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
@arxiv-stat-ml.bsky.social
source: https://arxiv.org/rss/stat.ML maintainer: @tmaehara.bsky.social
@ivyzhengx.bsky.social
JAX & Flax @ GoogleDeepmind Gemini, neural net frameworks & performance video games, and other random things she/her, wife of a wife 🌈
@davidpfau.com
So far I have not found the science, but the numbers keep on circling me. Views my own, unfortunately.
@jsellenberg.bsky.social
Mathematician, writer, Orioles fan, Wisconsinite, cargo shorts dad
@mmbronstein.bsky.social
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, 🐎 🎶