Camilo Cárdenas Hurtado
Economist turned Statistician | PhD LSE
Research interests: Latent variable models, Computational Statistics, Applied Statistics
@fxbriol.bsky.social
Associate Professor at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
@bleilab.bsky.social
Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems. 🔗 https://www.cs.columbia.edu/~blei/ 🔗 https://github.com/blei-lab
@juanitorduz.bsky.social
Applied Scientist | Math PhD | Open Source PyMC Labs https://juanitorduz.github.io
@kevingoneill.github.io
Postdoc @ UCL studying causal judgment, counterfactual thinking, and metacognition https://kevingoneill.github.io
@lawrennd.bsky.social
Professor of Machine Learning, University of Cambridge, academic lead of ai@cam, Accelerate Science, author of The Atomic Human, proceedings editor for PMLR.
@mguindani.bsky.social
Statistician. Bayesian. Professor, Department of Biostatistics, University of California, Los Angeles. Views are my own. He/Him.
@stephensrmmartin.bsky.social
Probabilistic modeling and machine learning nerd Social Psych PhD, quantitative methods Data Scientist Manager, Comscore - Innovation Research Team.
@charlesm993.bsky.social
Research fellow at the Flatiron Institute and Stan developer. Research in statistics, ML, and AI for science. Views are my own. https://charlesm93.github.io./
@chris-nemeth.bsky.social
Professor in Probabilistic Machine Learning @ Lancaster University. Homepage: https://chris-nemeth.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.
@samikaski.bsky.social
Probabilistic machine learning and its applications in AI, health, user interaction. @ellisinstitute.fi, @ellis.eu, fcai.fi, @aifunmcr.bsky.social
@learnbayesstats.bsky.social
A podcast on #BayesianStats -- the methods, the projects, the people By @alex-andorra.bsky.social Listen: http://tinyurl.com/pvz4ekky Support: http://tinyurl.com/2p8mpxnp
@jarnovanhatalo.bsky.social
Professor in University of Helsinki. Working on Bayesian statistics, statistical ecology and environmental sciences.
@erik-van-zwet.bsky.social
Statistician at the Leiden University Medical Center in the Netherlands.
@raybai07.bsky.social
Assistant Professor of Statistics at @sc.edu, French bulldog owner, and pop culture enthusiast. I mostly post about work-related things. 👨🏫📊 📚👨🍳🏳️🌈 raybai.net
@avehtari.bsky.social
Professor in computational Bayesian modeling at Aalto University, Finland. Bayesian Data Analysis 3rd ed, Regression and Other Stories, and Active Statistics co-author. #mcmc_stan and #arviz developer. Also in Mastodon: https://bayes.club/@avehtari
@mrc-bsu.bsky.social
We develop, apply and promote innovative statistical and data science approaches to advance biomedical science and human health. www.mrc-bsu.cam.ac.uk
@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
@pymc-labs.bsky.social
The Bayesian Consultancy • Using PyMC to solve your most challenging data science problems • http://pymc-labs.com
@rosenetwork.bsky.social
Researchers of Statistics Education Network. An inclusive, global community for statistics education researchers & scholars. Owner of the #StatsEd feed. RoSE eConference - 31st July 2025. Check us out: www.rose-network.org.
@jsm2334.bsky.social
George S Pepper Professor of Public Health & Preventative Medicine; Biostats, Stats & Data Science, Lifelong learner & truth seeker; Views my own & not employer’s
@emccormick.bsky.social
Asst Prof. in Methods & Stats. Study longitudinal quantitative methods, learning, development, neural networks. 🏳️🌈
@lauramstapleton.bsky.social
Professor of Quant Methodology: Measurement & Statistics, Chair, Human Development & Quantitative Methodology, Univ of Maryland @LauraMStapleton
@edkroc.bsky.social
Statistician, gull lover. At UBC, Vancouver, Canada. I like math, statistics, science, and seabirds. Blog: https://edkroc.wordpress.com/ Salish Sea Urban Gull Monitoring Program: https://ekroc.weebly.com/salish-sea-urban-gull-monitoring-program.html
@siweiliu.bsky.social
Associate Professor & Director of the Intensive Longitudinal Methods Lab at UC Davis. https://siweiliu.weebly.com/
@karolinehuth.bsky.social
Researcher @ University of Amsterdam (Applied) Statistics | Bayesian | Networks | R software | Data Science | Climate Change
@vsavalei.bsky.social
Quantitative Psychologist at the University of British Columbia
@jmbh.bsky.social
Postdoc @ University of Amsterdam; Time Series and Network Models, Computational Models, Dynamical Systems, NLP, Climate Change; www.jonashaslbeck.com
@joft.bsky.social
Prof. of #Statistics, #machinelearning / ethics for #datascience @LSE. Unschooled to community college to PhD @Stanford Technology, institutions, and ideas should serve people, but much of humanity is stuck with this upside-down.
@noahgreifer.bsky.social
Statistical consultant and programmer at Harvard IQSS. Author/maintainer of the #Rstats packages 'MatchIt', 'WeightIt', and 'cobalt' for causal inference, among many others | He/him ngreifer.github.io
@statstas.datascience.blue
Social data scientist AMA about survey statistics, sampling weights, small area estimation, multilevel models, latent class analysis, structural equation models, #rstats, #Stata. Scraping contents of this account is not permitted.
@maibennett.com
Asst Professor at @UTAustin working on causal inference. The Anna Wintour of slide decks. If you have something to say, say it with a nice plot #rstats
@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
@miguelhernan.org
https://miguelhernan.org/ Using health data to learn what works. Making #causalinference less casual. Director, @causalab.bsky.social Professor, @hsph.harvard.edu Methods Editor, Annals of Internal Medicine @annalsofim.bsky.social
@karlrohe.bsky.social
“Overly optimistic” 🦮 in Statistics. Listening in statistics. Statistics Professor at UW Madison.
@lucystats.bsky.social
Biostatistician • Assistant Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
@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
@tracysweet.bsky.social
She/Her ~ Statistician/Quant Methodologist at UMD ~ CMU Stats Alum ~ Researches racial equity, social networks, machine learning, Bayesian things ~ Mom of 3 kids, 2 dogs, 1 cat
@allendowney.bsky.social
Former professor at Olin College, principal data scientist at PyMC Labs, author of Think Python, and Probably Overthinking It -- blog and book -- and stark raving Bayesian.
@alexpghayes.com
incoming postdoc @ stanford + assistant prof @ oregon state. networks, causal inference, contagion, measurement error, #rstats. he/him https://www.alexpghayes.com
@pmetricsoc.bsky.social
@xmjandrews.bsky.social
Associate professor of statistical methods, Psych Dept, Nottingham Trent University. Statistics, Data science, Bayesian methods, R, Python, Open science, etc.