Rui-Yang Zhang
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/
@alsanty.bsky.social
Engineering | Finances | Complex System Dynamics HPC | AI | QC | HFT | Infrastructure, Construction, Energy, Defense, FinTech, BioTech.
@ruili-pml.bsky.social
PhD student at Aalto University. Working on uncertainty quantification, few-shot learning, and probabilistic machine learning in general. https://ruili-pml.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]
@emergingapps.bsky.social
The Emerging Applications Section of @royalstatsoc.bsky.social. The role of EAS is to provide a platform for topics of emerging importance in statistics and data science.
@mraginsky.bsky.social
web: http://maxim.ece.illinois.edu substack: https://realizable.substack.com
@ai.cam.ac.uk
ai@cam is Cambridge University's flagship mission to develop AI for the benefit of science, citizens, and society. 🔗 www.ai.cam.ac.uk
@ellisinstitute.fi
A world-class research hub in AI and machine learning, in partnership with universities, RDI organizations and businesses in Finland. We are the 2nd institute in the @ellis.eu network. 🔗 ellisinstitute.fi
@jamesthornton.bsky.social
Research scientist at Google DeepMind. Creating noise from data.
@yisongyue.bsky.social
AI professor at Caltech. General Chair ICLR 2025. http://www.yisongyue.com
@clouddrift.bsky.social
Clouddrift is a 🐍 Python package helping accelerates the use of Lagrangian data for ☁ atmospheric, 🌊 oceanic, and 🌎 climate sciences! https://clouddrift.org | https://github.com/Cloud-Drift/clouddrift
@julyanarbel.bsky.social
On a quest to make AI safe with Bayes. Researcher at Inria. Prev: Polytechnique, ENSAE Paris, Insee, Paris-Dauphine, Collegio Carlo Alberto, Bocconi. https://www.julyanarbel.com/ https://www.linkedin.com/in/julyanarbel/
@lestermackey.bsky.social
Machine learning researcher at Microsoft Research. Adjunct professor at Stanford.
@jessicabridgen.bsky.social
Research Fellow at Lancaster University. Mathematical modelling | Bayesian Statistics | Infectious disease epidemiology
@leoeleoleo1.bsky.social
PhD student at @oxfordstatistics.bsky.social working on generative models
@sadnicka.bsky.social
Consultant Clinical Academic studying human movement disorders @ ucl.ac.uk/gatsby/ and Department of Clinical and Movement Neurosciences. Computational Movement Disorders Lab https://sadnicka.github.io/ Funded by @ wellcome.org/
@katesampson.bsky.social
Research Physiotherapist interested in hyperkinetic movement disorders
@cameronastew.art
PhD Student @ Gatsby Computational Neuroscience Unit I study stochastic processes and their application to modelling neuronal dynamics.
@ucl-neuroai.bsky.social
UCL NeuroAI fosters collaboration between our neuroscience and AI communities. https://www.ucl.ac.uk/research/domains/neuroscience/ucl-neuroai
@kevhhuang.bsky.social
PhD candidate in machine learning @GatsbyUCL. Applied probability / computer science / mathematical statistics. He/him. 🌈
@nikosirmpilatze.com
London-based neuroscientist 🧠 & research software engineer 💻 developing free and open-source tools for studying brains & behaviour, @neuroinformatics.dev @sainsburywellcome.bsky.social at UCL. Committed to open, collaborative, and reproducible science.
@leenacvankadara.bsky.social
Lecturer @GatsbyUCL; Previously Applied Scientist @AmazonResearch; PhD @MPI-IS @UniTuebingen
@eringrant.bsky.social
Senior Research Fellow @ ucl.ac.uk/gatsby & sainsburywellcome.org {learning, representations, structure} in 🧠💭🤖 my work 🤓: eringrant.github.io not active: sigmoid.social/@eringrant @eringrant@sigmoid.social, twitter.com/ermgrant @ermgrant
@adamltyson.com
Head Research Engineer at Sainsbury Wellcome Centre, UCL. I lead @neuroinformatics.dev & @brainglobe.info. We build open source software for neuroscience and machine learning. Runner, cyclist, sandwich enthusiast. https://adamltyson.com
@saxelab.bsky.social
Professor at the Gatsby Unit and Sainsbury Wellcome Centre, UCL, trying to figure out how we learn
@arthurgretton.bsky.social
@michaelchchoi.bsky.social
Applied probabilist. Probability, MCMC, optimization, information theory, TCS. https://mchchoi.github.io/
@essecbs.bsky.social
@msalbergo.bsky.social
junior fellow at @Harvard.edu, incoming prof at @HSEAS and @Kempnerinstitute.bsky.social studying machine learning and its applications to nature and the sciences
@nmboffi.bsky.social
Building generative models for high-dimensional science and engineering. Assistant prof. @CarnegieMellon & affiliated faculty @mldcmu, previously instructor @NYU_Courant, PhD jointly @Harvard and @MIT https://nmboffi.github.io
@laracrc.bsky.social
Editor for #Statistics, #RStats and #DataScience books at Chapman & Hall/CRC Press. The usual caveats apply, views are my own. https://www.routledge.com/statistics
@andreacappozzo.bsky.social
Associate Professor of Statistics at Università Cattolica del Sacro Cuore @unicatt.bsky.social. Doctor Europaeus 🇪🇺. Mixture Models | Model-based clustering and classification | Health Analytics | Rstats Website: http://andreacappozzo.rbind.io/
@adamjohansen.bsky.social
Professor of Statistics at University of Warwick; computational methods, Monte Carlo, gradient flows and fun things like those.
@muneebaadil.bsky.social
Stats PhD student @ UCL. Interested in causality, active learning and decision making. Previously at CISPA, MPI-INF, and Saarland University. https://muneebaadil.github.io
@hugoqueniat.bsky.social
1st year PhD in Stats @ Warwick, broadly interested in Computational Statistics and Probabilistic Machine Learning. ENS Paris-Saclay’s MVA & Télécom Paris Graduate. Massive Formula 1 fan, sports enthusiast. 🇫🇷🇲🇺
@eigenamartya.bsky.social
CS PhD student at UNC Chapel Hill Website: http://amartya21.github.io
@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 📩
@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
@glouppe.bsky.social
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity.
@nunezanalyzed.bsky.social
Asst. Prof. University of Amsterdam, rock climber, husband, father. Model-based (Mathematical) Cognitive Neuroscientist. I study decision-making, EEG, 🧠, statistical methods, etc. 🇺🇦🇪🇺
@matthijspals.bsky.social
Using deep learning to study neural dynamics @mackelab.bsky.social
@annalenakofler.bsky.social
PhD Student at MPI-IS working on ML for Gravitational Waves | #MLforPhysics #SBI https://www.annalenakofler.com