Lucas Kook
Assistant Professor of Statistics at WU Vienna | Before: Postdoc at the University of Copenhagen | PhD from the University of Zurich | Interested in causal inference with complex data structures and statistical software
@sebdarses.bsky.social
Math Assoc. Prof. at Aix-Marseille (France) Currently on Sabbatical at CRM-CNRS, Université de Montréal Teaching Project (non-profit): https://www.highkholle.fr/ https://sites.google.com/view/sebastien-darses/welcome
@nulliusinverba.bsky.social
Nullius in Verba is a podcast about science—what it is and what it could be. Hosted by Smriti Mehta (@smritimehta.bsky.social) and Daniël Lakens (@lakens.bsky.social). nulliusinverba.podbean.com
@mindaftermathphd.bsky.social
#BlackandSTEM #BlackPhD #Morehouse #Commanders #skins, #graphtheory #math #mathsky #cs #compsci #compsky #programming 1 Corinthians 1:27a: God chose what is foolish in the world to shame the wise; I like to ask questions about things and call it research
@kathoffman.bsky.social
biostatistician + biostatistics phd student at the university of washington. learning + writing about better ways to conduct research. #rstats, #dataviz, causal inference. she/her. blog: https://www.khstats.com/
@mcarone.bsky.social
Professor of Biostatistics, University of Washington School of Public Health. Affiliate Investigator, Fred Hutch Vaccine and Infectious Disease Division. Causal inference, ML, survival analysis, statistical epi, viruses and vaccine science. 🇨🇦🇮🇹🇦🇲
@larsvanderlaan3.bsky.social
Ph.D. Student @uwstat; Research fellowship @Netflix; visiting researcher @UCJointCPH; M.A. @UCBStatistics - machine learning; calibration; semiparametrics; causal inference. https://larsvanderlaan.github.io
@nolancole.bsky.social
Biostatistics phd student @University of Washington Interested in non-parametric statistics, causal inference, and science!
@lakens.bsky.social
Metascience, statistics, psychology, philosophy of science. Eindhoven University of Technology, The Netherlands. Omnia probate.
@rss-teach.bsky.social
Royal Statistical Society Section for Teaching Statistics. The views here reflect the author and not necessarily the Royal Statistical Society.
@statmodeling.bsky.social
Automatically tweets new posts from http://statmodeling.stat.columbia.edu Please respond in the comment section of the blog. Old posts spool at https://twitter.com/StatRetro
@mixomics.org
A team of creative, unconventional and computational statisticians who develop R mixOmics for the biological community. Omics and microbiome unraveller.
@markrubin.bsky.social
social psychology ▪︎ metascience ▪︎ philosophy of science ▪︎ higher education Professor at Durham University, UK. He/him. Website: https://sites.google.com/site/markrubinsocialpsychresearch/ Substack: https://markrubin.substack.com/
@bocklab.bsky.social
Technology-driven biomedical research at CeMM Research Center for Molecular Medicine & MedUni Vienna #cancer #immunology #bioinformatics #AI #singlecell #CRISPR
@giorgiadc.bsky.social
Climate scientist working at @pik-potsdam.bsky.social https://www.pik-potsdam.de/members/dicapua/homepage Looking at climate and weather extremes, atmospheric teleconnections and tropical - extratropical pathways. Views are my own.
@arikreuter.bsky.social
Max Planck Institute for Intelligent Systems https://arikreuter.github.io/
@v1vekkumar.bsky.social
Senior Manager, Foundational Research , @GoogleDeepMind Googler, Ex @Dolby & @Broadcom Talks and Investments 👉🏽 http://portfolio.v1vek.com
@panzhao.bsky.social
Postdoctoral Research Associate, Statistical Laboratory, University of Cambridge
@royalsociety.org
The Royal Society is a Fellowship of the world's most eminent scientists and is the oldest scientific academy in continuous existence.
@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
@danielawitten.bsky.social
dorothy gilford endowed chair and professor of statistics/biostatistics at university of washington, all views my own
@johandh2o.bsky.social
PhD Student at UiO, Researcher at NIPH, Fulbright Scholar, Statistician, Economist, Industrial Engineer. Web: johandh2o.github.io
@daugaarduriah.bsky.social
Ecologist at the University of Zurich. Wrapping up my PhD. Interested in Community Ecology, Freshwater Ecology, Modeling & Forecasting and More. M.Sc. in Biostatistics. https://duriah.github.io/
@christophmolnar.bsky.social
Author of Interpretable Machine Learning and other books Newsletter: https://mindfulmodeler.substack.com/ Website: https://christophmolnar.com/
@jakobrunge.bsky.social
Professor of AI in the Sciences at University of Potsdam // causalinferencelab.com
@kylecranmer.bsky.social
Director Data Science Institute @UWMadison, Professor of Physics, EiC @MLSTjournal. Physics, stats/ML/AI, open science.
@jmgran.bsky.social
Professor of biostatistics at the University of Oslo. Causal inference, survival/event history analysis, jmgran.github.io
@juhakarvanen.bsky.social
Professor of Statistics at University of Jyväskylä. Interested in causal models, study design, and missing data. Homepage: http://users.jyu.fi/~jutakarv/
@bengoldacre.bsky.social
Prof of EBM @UniOxford, author, Bad Science person, more... I run http://bennett.ox.ac.uk making tools+papers from data http://OpenSAFELY.org http://OpenPrescribing.net
@sebastianraschka.com
ML/AI researcher & former stats professor turned LLM research engineer. Author of "Build a Large Language Model From Scratch" (https://amzn.to/4fqvn0D). Blogging about AI research at magazine.sebastianraschka.com.
@aschuler.bsky.social
Assistant Professor of Biostatistics UC Berkeley semiparametric statistics, machine learning, causal inference, stats/ML pedagogy, social justice Modern Causal Inference Book: alejandroschuler.github.io/mci/
@ccanonne.bsky.social
Senior Lecturer #USydCompSci at the University of Sydney. Postdocs IBM Research and Stanford; PhD at Columbia. Converts ☕ into puns: sometimes theorems. He/him.
@wkhuber.bsky.social
Statistician, Computational Biologist R | Bioconductor | Images are data https://www.huber.embl.de Textbook: Modern Statistics for Modern Biology https://www.huber.embl.de/msmb/ (with @sherlockpholmes.bsky.social)
@beenwrekt.bsky.social
Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/
@rdpeng.org
Professor of Statistics and Data Sciences UT Austin | Prev JHUBiostat | R Programming for Data Science | Simply Stats Blog | Not So Standard Deviations | The Effort Report
@causalhuber.bsky.social
Professor of Applied Econometrics and Policy Evaluation at the University of Fribourg/Freiburg (Switzerland) - causal analysis, statistics, econometrics, machine learning...and telemarking
@rogerborras.bsky.social
Mathematician, biostatistician, gamer, skier, violinist & R lover. Evidence-Based Medicine. Hospital Clínic de BCN. @idibaps @CIBER_ESP. Professor @UABBarcelona
@wtgowers.bsky.social
Mathematics professor at Collège de France and fellow of Trinity College Cambridge.
@ianws.bsky.social
Postdoc @ UC Berkeley | statistics, probability, machine learning, privacy 🇨🇦 ianws.com
@karlrohe.bsky.social
“Overly optimistic” 🦮 in Statistics. Listening in statistics. Statistics Professor at UW Madison.
@lpachter.bsky.social
Bren Professor of Computational Biology @Caltech.edu. Blog at http://liorpachter.wordpress.com. Posts represent my views, not my employer's. #methodsmatter