François-Xavier Briol
Associate Professor at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
@jun-yang.bsky.social
Department of Mathematical Sciences, University of Copenhagen https://jun.sites.ku.dk/
@jan-peters.bsky.social
#RobotLearning Professor (#MachineLearning #Robotics) at @ias-tudarmstadt.bsky.social of @tuda.bsky.social @dfki.bsky.social @hessianai.bsky.social
@auai.org
Association for Uncertainty in AI. Upcoming conference: #uai2025 July 21-25th in Rio de Janeiro, Brazil 🇧🇷 ! https://auai.org/uai2025
@hetanshah.bsky.social
Chief Executive, The British Academy Chair, Our World in Data Board, National Audit Office Visiting Professor, Kings College London Fellow, Birkbeck College Advisory board, Resolution Foundation; Bennett Institute; UCL Policy Lab My own views
@yulislavutsky.bsky.social
Stats Postdoc at Columbia, @bleilab.bsky.social Statistical ML, Generalization, Uncertainty, Empirical Bayes https://yulisl.github.io/
@arnauddoucet.bsky.social
Senior Staff Research Scientist @Google DeepMind, previously Stats Prof @Oxford Uni - interested in Computational Statistics, Generative Modeling, Monte Carlo methods, Optimal Transport.
@aliakbars.id
Data scientist at Revolut. PhD student @statisticsucl.bsky.social. ML for healthcare. Post in Indonesian/English. Views are my own.
@robinryder.bsky.social
Mathematician at Imperial College London. Bayesian statistics, Data science, Languages, Phylogenies.
@ropeharz.bsky.social
Assistant prof at TU Graz, formerly assistant prof at TU Eindhoven, Marie-Curie Fellow at University of Cambridge. Probabilistic Machine Learning.
@lucderaedt.bsky.social
Professor of AI, DTAI, KU Leuven; Wallenberg Guestprofessor AASS, Örebro University; Director http://Leuven.AI, AAAI and EurAI Fellow, Former PC Chair IJCAI, ICML, ECAI and ECMLPKDD, ERC AdG 2015 and 2023
@kerstingaiml.bsky.social
AI Prof at TU Darmstadt, Founding Co-Director Hessian.AI, DFKI, AAAI/EurAI/AAIA/ELLIS Fellow, AAAI24 Ass. PC CoChair, Fmr. PC CoChair UAI, ECML PKDD, Invest. @Aleph__Alpha, Fmr. AI Column German Newspaper Welt (am Sonntag)
@mniepert.bsky.social
Professor @ University of Stuttgart, Scientific Advisor @ NEC Labs, GraphML, geometric deep learning, ML for Science and Simulations. Formerly @IUBloomington and @uwcse
@lauraruis.bsky.social
PhD supervised by Tim Rocktäschel and Ed Grefenstette, part time at Cohere. Language and LLMs. Spent time at FAIR, Google, and NYU (with Brenden Lake). She/her.
@isba-bayesian.bsky.social
The International Society for Bayesian Analysis (ISBA), est. 1992 to promote the development and application of Bayesian analysis, provides an international community for those interested in Bayesian analysis and its applications. https://bayesian.org
@maxroser.bsky.social
— Founder of Our World in Data — Professor at the University of Oxford Data to understand global problems and research to make progress against them.
@shriram.bsky.social
Brown Computer Science / Brown University || BootstrapWorld || Pyret || Racket I'm unreasonably fascinated by, delighted by, and excited about #compsci #education #cycling #cricket and the general human experience.
@pamattei.bsky.social
Research scientist, Inria. Statistical machine learning.
@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
@rdeheide.bsky.social
Assistant Professor in Mathematical Statistics and Statistical Learning at the University of Twente. https://riannedeheide.github.io Contralto, professional horn player, percussionist, wannabe long-distance runner, mother.
@drfeifei.bsky.social
Prof (CS @Stanford), Co-Director @StanfordHAI, Cofounder/CEO @theworldlabs, CoFounder @ai4allorg #AI #computervision #robotics #AI-healthcare
@slchau.bsky.social
Incoming Assistant Professor in Statistical Machine Learning @ NTU Singapore 🇸🇬 Interested in Uncertainty-aware ML, Explainable ML, and preference learning. Currently Postdoc @CISPA, previously at @OXCSML, @Amazon, @MPI_IS https://chau999.github.io/
@yisongyue.bsky.social
AI professor at Caltech. General Chair ICLR 2025. http://www.yisongyue.com
@ian-goodfellow.bsky.social
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Chronically ill: bilateral Ménière’s disease + long COVID. Founding chairman of www.publichealthactionnetwork.org
@chrmanning.bsky.social
Stanford Linguistics and Computer Science. Director, Stanford AI Lab. Founder of @stanfordnlp.bsky.social . #NLP https://nlp.stanford.edu/~manning/
@ayushbharti.bsky.social
Academy Research Fellow at the Dept. of Computer Science, Aalto University, Finland. Affiliated with the Finnish Center for Artificial Intelligence. Website: http://bharti-ayush.github.io
@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” 🦮
@jmtomczak.bsky.social
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
@dan-kowal.bsky.social
Associate Professor of Statistics and Data Science at Cornell University. https://www.danielrkowal.com/
@imurray.bsky.social
Professor of Machine Learning and Inference, Edinburgh Informatics, Formally Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray
@mgollub.bsky.social
🧬💻 | Director of Machine Learning @jura.bsky.social | Probabilistic models, ML, Molecular biology, Immune receptors.
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@arnosolin.bsky.social
Assistant Professor in Machine Learning, Aalto University. ELLIS Scholar. http://arno.solin.fi
@pwgtennant.bsky.social
Epidemiologist with an interest in causal inference methods at @universityofleeds.bsky.social. Check out my Intro to Causal Inference Course: https://www.causal.training/ #Epidemiology, #EpiSky, #CausalInference, #CausalSky, #AcademicSky
@gabrielpeyre.bsky.social
@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/
@arnauddelaunoy.bsky.social
PhD student working on simulation-based inference under the supervision of @glouppe .
@timpmorris.bsky.social
Principal research fellow in statistical methods. Work on simulation studies, non-inferiority, missing data, estimands, covariate adjustment… He/him https://tpmorris.substack.com/ https://profiles.ucl.ac.uk/2059
@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/
@ritothebayesian.bsky.social
Associate professor of statistics in the University of Warwick. Excited about everything Bayesian, related to Prediction, and smells of Computation!
@firthstat.bsky.social
Research in #statistics, University of Warwick. https://warwick.ac.uk/dfirth Also @[email protected] (Mastodon) Current main interest is compositional data analysis. Programming in #rstats
@shahine.bsky.social
Statistics and climate science. Postdoc at MIT EAPS, prev PhD at Oxford. he/him. shahineb.github.io
@louisaslett.bsky.social
Associate Professor of Statistics in the Department of Mathematical Sciences at Durham University, U.K. #academicsky #rstats Lurking here for now, may start to post in due course. Currently more active on Mastodon: https://fosstodon.org/@louisaslett
@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]
@ucl-csml-ellis.bsky.social
UCL Computational Statistics and Machine Learning x ELLIS Organizing the JumpTrading ELLIS UCL CSML Seminar Series every Friday - for upcoming talks check our website https://ucl-ellis.github.io/jt_csml_seminar_home/
@uclengage.bsky.social
Here to support staff and students to engage with public groups and communities outside of UCL. We believe that by listening to and collaborating with people, we can improve our research and teaching to make a greater impact and create positive change.