Johan de Aguas
PhD Student at UiO, Researcher at NIPH, Fulbright Scholar, Statistician, Economist, Industrial Engineer. Web: johandh2o.github.io
@tvarnetperez.bsky.social
Causal inference, statistics and mental health. PhD @ Norwegian Institute of Public Health (NIPH) and Oslo Centre for Biostatistics and Epidemiology (OCBE)
@thoughtchannel.bsky.social
Non Profit Organisation We discuss Ideas about Intelligence https://www.thinkingaboutthinking.org/ Upcoming events : https://www.algopreneurship.ai/ : Tokyo, Japan https://www.neuromonster.org/ : Split, Croatia
@simonsinstitute.bsky.social
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
@stephenrgreen.bsky.social
Black holes, gravitational waves, and AI. UKRI Future Leaders Fellow @ University of Nottingham. https://www.stephenrgreen.com/
@royalsociety.org
The Royal Society is a Fellowship of the world's most eminent scientists and is the oldest scientific academy in continuous existence.
@stathorizons.bsky.social
We offer online short courses on a wide variety of popular statistical methods with expert instructors.
@nordic-rse.bsky.social
We are the Nordic Research Software Engineers association. #ResearchSoftware
@davebrady72.bsky.social
Public policy professor, Price School USC @priceschool.usc.edu, father, poverty/social policy/racial inequality/immigration/policymakers, posts do not speak for employer, https://bradydave.wordpress.com
@quantamagazine.bsky.social
Illuminating math and science. Supported by the Simons Foundation. 2022 Pulitzer Prize in Explanatory Reporting. www.quantamagazine.org
@arxiv-math-nt.bsky.social
Mathematics -- Number Theory (math.NT) source: export.arxiv.org/rss/math.NT maintainer: @tmaehara.bsky.social
@miniapeur.bsky.social
Gradient surfer at UCL. FR, EN, also trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦. Also on Twitter.
@nsfsimonscosmicai.bsky.social
Funded by the U.S. National Science Foundation and the Simons Foundation. Driving AI innovation to explore cosmic origins and make astronomy more accessible and collaborative.
@triadsou.bsky.social
My interests: Biostatistics; Survival Analysis; Meta-Analysis; Causal Inference; Bayesian Inference; Diagnostic Statistics. https://linktr.ee/tridasou
@rflamary.bsky.social
ML Professor at École Polytechnique. Python open source developer. Co-creator/maintainer of POT, SKADA. https://remi.flamary.com/
@docmilanfar.bsky.social
Distinguished Scientist at Google. Computational Imaging, Machine Learning, and Vision. Posts are personal opinions. May change or disappear over time. http://milanfar.org
@gabrielpeyre.bsky.social
@raziehnabi.bsky.social
Rollins Assistant Professor of Biostatistics @EmoryRollins, PhD @JHU.edu Interested in causal inference, missing data, machine learning, algorithmic fairness, non/semiparametrics, graphical models, etc raziehnabi.com
@jeffdean.bsky.social
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
@rebedeb.bsky.social
Transit researcher based in Seattle. Interested in research, mobility, strategy, #Rstats, and learning new things.
@jimena-econ.bsky.social
Associate Professor of Economics at Manhattan University Environmental Economist 🇨🇴🇺🇸⚽🥏🚴♀️ new website: jimegon.github.io old website: www.jimenagonzalez.org
@karlrohe.bsky.social
“Overly optimistic” 🦮 in Statistics. Listening in statistics. Statistics Professor at UW Madison.
@elogfermion.bsky.social
Progressive observer of humanity. Atheist, Secular Humanist, Pro Choice, Woke,🏳️🌈🏳️⚧️ UA, OSINT follower, Believe in Science, Researcher, Causal Modeling, Probability Photographs and opinions my own unless reposted #Resist, #VoteBlue #COYS
@osmanmian.bsky.social
www.sites.google.com/view/mian/ | Post Doc @ Institute for Artificial Intelligence in Medicine at Uniklinikum Essen | Previously Ph.D. Student. Causal Inference and Discovery @CISPA Helmholtz Center for Information Security
@awlevis.bsky.social
Postdoc @ CMU Statistics & Data Science www.awlevis.com interests: causal inference, distribution shift, machine learning, non/semiparametrics, w/ applications in EHR data & beyond
@nytimes.com
In-depth, independent reporting to better understand the world, now on Bluesky. News tips? Share them here: http://nyti.ms/2FVHq9v
@brennankahan.bsky.social
Principal Research Fellow in Medical Statistics at MRC Clinical Trials Unit at UCL. Clinical trials, estimands, estimation. https://scholar.google.co.uk/citations?user=Lf0jsXAAAAAJ&hl=en&oi=sra
@suziecro.bsky.social
Senior Lecturer in Medical Statistics & Clinical Trials @ Imperial Clinical Trials Unit
@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
@valeriavitelli.bsky.social
Associate Professor at the Oslo Centre for Biostatistics and Epidemiology @ocbe.bsky.social, University of Oslo. Statistician working on high-dimensional data, Bayesian methods, unsupervised learning. https://www.med.uio.no/imb/english/people/aca/valeriv
@pseudomanifold.topology.rocks
Dad · Geometry ∩ Topology ∩ Machine Learning Professor at University of Fribourg While #geometry & #topology may not save the world, they may well save something that is homotopy-equivalent to it. 🏠 https://bastian.rieck.me/ 🏫 https://aidos.group
@a-marx.bsky.social
Prof. at TU Dortmund and RC Trust | Chair for Causality | Research on Causality, Machine Learning and Information Theory | Prev. ETH Zürich, ETH AI Center, CISPA and MPI for Informatics | Website: https://www.a-marx.com
@upicchini.bsky.social
Full Professor at @deptmathgothenburg.bsky.social | simulation-based inference | Bayes | stochastic dynamical systems | https://umbertopicchini.github.io/
@julialang.org
Julia is a high-level, dynamic programming language built for technical computing. Official Bluesky account of the Julia Language Project #JuliaLang
@paperposterbot.bsky.social
posts updates from arXiv rss feeds for methodology papers in Statistics and Econometrics. Also maintains an arxiv and posts random papers from it. maintainer: @apoorvalal.com source code: https://github.com/apoorvalal/bsky_paperbot
@murat-kocaoglu.bsky.social
Asst. Prof. at Purdue ECE. Causal ML Lab. Causal discovery, causal inference, deep generative models, info theory, online learning. Past: MIT-IBM AI Lab, UT Austin, Koc, METU.
@pkrugman.bsky.social
@josephpolitano.bsky.social
Writing a data-driven newsletter about economics @ apricitas.io Nuance? In this Economy Perpetually awaiting that “trade deal” with Japan |
@harshitsikchi.bsky.social
(On job market) I study Reinforcement Learning. PhD at UT Austin. Previously FAIR Paris, Meta US, NVIDIA, CMU, and IIT Kharagpur. Website: https://hari-sikchi.github.io/
@stonet2000.bsky.social
PhDing @UCSanDiego @HaoSuLabUCSD @hillbot_ai on scalable robot learning, reinforcement learning, and embodied AI. Co-founded @LuxAIChallenge to build AI competitions. @NSF GRFP fellow http://stoneztao.com
@stephmilani.bsky.social
PhD Student in Machine Learning at CMU. On the academic job market! 🐦 twitter.com/steph_milani 🌐 stephmilani.github.io
@yus167.bsky.social
PhD at Machine Learning Department, Carnegie Mellon University | Interactive Decision Making | https://yudasong.github.io
@willemropke.bsky.social
PhD student | Interested in all things decision-making and learning
@upiter.bsky.social
PhD at NYU studying reasoning, decision-making, and open-endedness alum of MIT | prev: Google, MSR, MIT CoCoSci https://upiterbarg.github.io/