Camilo Cárdenas Hurtado
Economist turned Statistician | PhD LSE
Research interests: Latent variable models, Computational Statistics, Applied Statistics
@betanalpha.bsky.social
Zealous modeler. Annoying statistician. Reluctant geometer. Support my writing at http://patreon.com/betanalpha. He/him.
@sedielem.bsky.social
Blog: https://sander.ai/ 🐦: https://x.com/sedielem Research Scientist at Google DeepMind (WaveNet, Imagen 3, Veo, ...). I tweet about deep learning (research + software), music, generative models (personal account).
@enar-ibs.bsky.social
Oficial Bluesky account of the Eastern North American Region of the International Biometric Society.
@conjugateprior.org
Señor Research Scientist, an NPC at the Hertie School in Berlin 🇩🇪 via Princeton, Mannheim, Edinburgh and a bunch of other ivory towers that will probably be billiard balls and decorative boxes by the end of the decade.
@nissorg.bsky.social
NISS was founded in 1990 as an independent, neutral non-profit to foster impactful research across disciplines and sectors in statistics and data sciences. It partners to enhance research and training and leads on critical, emerging topics.
@um-src.bsky.social
Survey Research Center is an international leader in research involving the collection and analysis of sample surveys, administrative and other non-survey data. https://src.isr.umich.edu/
@johnsakaluk.bsky.social
He/him/his. Social psychologist at Western University. Work: #rstats, #psychometrics, #dyadic data, #MetaAnalysis, #closerelationships, Sexuality Fun: All things cured, fermented, roasted, seared, smoked, shaken, stirred, and swizzled.
@user-conf.bsky.social
Join us at Duke University, Durham, NC, USA (EDT) August 8 - 10th!
@casualinfer.bsky.social
Casual Inference Podcast. Hosted by @LucyStats.bsky.social & @EpiEllie.bsky.social | Partnered with The American Journal of Epidemiology | Casual chats about epi & stats. Episodes every other week!
@simonsinstitute.bsky.social
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
@sriucl.bsky.social
Changing the world for the better through world-class social science research and education. https://www.ucl.ac.uk/ioe/departments-and-centres/ucl-social-research-institute
@statsyss.bsky.social
We are the Young Statisticians Section of the Royal Statistical Society👶🔢. The views expressed are our own and do not necessarily represent those of the RSS.
@fusaroli.bsky.social
Cognitive Science at Aarhus Uni. Curious about social interactions, symbolic behaviors, and meta-science. Focus on stats, computational modeling, machine learning, complex systems, language, exp semiotics and neuropsychiatric conditions. He/They.
@statsrhian.bsky.social
🧮 NHS Data Scientist 🗣️ Stats communicator 👩💻 #RStats educator 🔗 rhian.rbind.io 🚣♀️ 🚴♀️🧗♀️ 🏊♀️🏃♀️🚐🎼 🥁 🧶🏳️🌈 she/her
@njclark.bsky.social
Amplify Research Fellow at University of Queensland. Using #forecasting in #rstats to understand ecological responses to change. Author of the {mvgam} R 📦 for Bayesian multivariate modeling. Blog 💬: https://ecogambler.netlify.app/ Views are my own
@andrew.heiss.phd
Assistant professor at Georgia State University, formerly at BYU. 6 kids. Study NGOs, human rights, #PublicPolicy, #Nonprofits, #Dataviz, #CausalInference. #rstats forever. andrewheiss.com Signal: andrewheiss.01
@spmontecarlo.bsky.social
Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him). Homepage: https://sites.google.com/view/sp-monte-carlo Seminar: https://sites.google.com/view/monte-carlo-semina
@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
@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
@cfbalcazar.bsky.social
Asst. Prof. at UCL. International Political Economy, with a focus on (digital) trade, technological change, collective action, policy and inequality. https://cfbalcazar.github.io/
@mattblackwell.bsky.social
data, causal inference, experiments, politics https://mattblackwell.org
@causalab.bsky.social
Actionable #causalinference with real-world impact. We use health data to help decision makers make better decisions. We train investigators at Harvard T.H. Chan School of Public Health. Connect with CAUSALab: https://linktr.ee/causalab
@maartenvsmeden.bsky.social
statistician • associate prof • team lead health data science and head methods research program at julius center • director ai methods lab, umc utrecht, netherlands • views and opinions my own
@seanjtaylor.com
Data Science, Causal Inference, Economics, Statistics and Machine Learning Two joys in life: [1] Learning something interesting about the world [2] Telling people about it Data Science @OpenAI
@dingdingpeng.the100.ci
Personality psych & causal inference @UniLeipzig. I like all things science, beer, & puns. Even better when combined! Part of http://the100.ci, http://openscience-leipzig.org
@beyerslouw.bsky.social
Assistant Professor | RSM Erasmus University 🇳🇱 #causality #decisionmaking #uncertainty #bayesianlogic
@stephenjwild.bsky.social
I try to put straight lines through things but usually fail. Try to be Bayesian when I can. Views my own. RT/like != endorsement.
@aeraedresearch.bsky.social
Official account of American Educational Research Association, a national interdisciplinary research association for ~25K+ scholars who undertake #edresearch.
@djfoster.bsky.social
Principal Researcher in AI/ML/RL Theory @ Microsoft Research NE/NYC. Previously @ MIT, Cornell. http://dylanfoster.net RL Theory Lecture Notes: https://arxiv.org/abs/2312.16730
@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
@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” 🦮
@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.
@vincentab.bsky.social
Prof. Most tweets about R. “Polisci, it’s all about what’s going on.” http://arelbundock.com
@klint.bsky.social
Assistant Professor of Applied Statistics at NYU ASH Psychometrician and sandwich lover Reluctant dog account
@vizecolin.bsky.social
Assistant Professor at University of Pittsburgh. Interested in general and maladaptive personality, methods, and open science. @VizeColin over on Twitter
@ginettelafit.bsky.social
Assistant professor at the Methodology of Educational Research Group at KU Leuven. Statistics, feminist, Latina, & mom. All views are my own.
@osorensen.bsky.social
Professor in Biostatistics, Department of Psychology, University of Oslo
@jonathantemplin.com
E. F. Lindquist Professor of Educational Measurement and Statistics, University of Iowa. Hoping BlueSky becomes what Twitter once was!
@derekbriggs.bsky.social
Professor of Education, University of Colorado Boulder. I’m into measurement, causal inference, music and basketball. Lakers fan since 1980.
@yongzhangzzz.bsky.social
PhD student in psychometrics and statistics at University of Groningen. Interested in experience sampling methodology and intensive longitudinal data analysis.
@aaronjfisher.bsky.social
Associate Professor of Psychology | University of California, Berkeley. Interested in Idiographic Science, Group-to-Individual Generalizability, and Personalization. EMA, time series, physiology, methods and statistics.
@liza-semenova.bsky.social
Assistant Prof @ImperialCollege. Applied Bayesian inference, spatial stats and deep generative models for epidemiology. Passionate about probabilistic programming—check out my evolving #Numpyro course: https://elizavetasemenova.github.io/prob-epi 🚀
@miles-ott.bsky.social
Data science, statistics, gardening, the wnba, & dogs 📖 Co-author of Bayes Rules! bayesrulesbook.com with Alicia Johnson and Mine Dogucu 📝 https://medium.com/@miles_ott 💼 https://www.linkedin.com/in/miles-ott 🐘 https://aus.social/@Miles_Ott
@gabrielpeyre.bsky.social
@mvdw.bsky.social
Associate Professor in Machine Learning at the University of Oxford. Interested in automatic inductive bias selection using Bayesian tools.
@deisenroth.bsky.social
Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him