Arthur Charpentier
Dad of 3 & born-again mathematician. Statistician, economist, fellow actuary & data addict. Professor & researcher in Montréal, Canada. Previously in Paris, Hong Kong, Leuven & Rennes. Full of 'satiable curtiosity https://mastodon.social/@freakonometrics
@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
@ericjpedersen.bsky.social
Associate prof of biology prof Concordia University. Lost in the wilds between ecology, statistics, and dynamic systems. Always interested in chatting all things GAM- and and nonlinear-system related
@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
@daphna.bsky.social
Associate Prof of Applied Stats at NYU ASH/PRIISM. PI: NYU Queer Data Lab. she/her 🏳️🌈
@jake-westfall.bsky.social
Software engineer (MLOps), previously data scientist, previously research psychologist. Teetotal vegan YIMBY cyclist in Austin, TX, USA.
@jamesuanhoro.bsky.social
Nigerian. Assistant professor in the Research, Measurement & Statistics program at University of North Texas. Uses Stan a lot. Member @CWA6186 / TSEU
@wjakethompson.com
👨🏼🏫 Psychometrician 👨🏼💻 ∈ {#rstats} ∩ {Taylor Swift} ∩ {dessert} http://pronoun.is/he
@modrakm.bsky.social
Biostatistics/bioinformatics at Charles University, 2nd faculty of Medicine. Bayesian in practice, but not a fan of Bayesianepistemology. Main on fedi: https://bayes.club/@modrak_m Blog: https://martinmodrak.cz
@angelamanzo.com
I’ve collected, analyzed, modeled, visualized, and mathed on data for a while now. My son likes Bumblebee more than Optimus Prime and my daughter is a big fan of bouncy castles. Please read the 🏴☠️FAQs: angelamanzo.com/faq
@gemoran.bsky.social
Assistant Prof of Statistics at Rutgers Previously: postdoc in the Blei Lab at Columbia. PhD in Statistics from University of Pennsylvania. https://www.gemma-moran.com Aussie 🦘| NYC-based 🗽
@m-square.net
I'm a faculty at CSU Stan, I'm interested in #rstats #healthyAging #quartoPub #python #statistics. I might share content related to quantitative methods from a diverse number of fields.
@skdeshpande91.bsky.social
Assistant professor in Statistics at UW–Madison. Interested in #Bayesian statistics, sports analytics, causal inference. Also cocktails and Dallas sports. #mffl
@emcfowland.bsky.social
HBS Professor interested in the development and deployment of Data Science tools (e.g., Anomaly Detection, Causal Inference, Networks) for better decision-making.
@erictleung.bsky.social
marketing data scientist, generalist, math and library enthusiast, data scientist of the third kind, loves good stationary and pens, low tech enthusiast, open source tinkerer, opinions = mine #rstats
@statstipton.bsky.social
Professor of Statistics at NorthwesternU, Faculty Fellow at IPRatNU. meta-analysis, causal generalization, education, psychology.
@epiellie.bsky.social
Epidemiologist and science communicator | newsletter: epiellie.substack.com | cohost @casualinfer podcast | Causal inference for public health #epitwitter | Canadian in US 🇨🇦 | she/her/Dr
@rnishimura.bsky.social
Survey methodologist and statistician at the Survey Research Center, Institute for Social Research, University of Michigan #survey | #sampling | #statistics | #RStats
@aeadata.bsky.social
Data editor for the American Economic Association - for official guidance, always go to http://aeaweb.org and https://aeadataeditor.github.io. Does not follow persons (sorry)
@statsepi.bsky.social
Epidemiologist + Statistician | Clinical Research Facility - University College Cork | UCC School of Public Health | #ClinicalTrials #Epidemiology #Statistics #RStats #WBE #IDSurveillance Views mine -> https://statsepi.substack.com/
@angelamczhou.bsky.social
assistant prof at USC Data Sciences and Operations; phd Cornell ORIE. data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity angelamzhou.github.io
@aneeshsathe.com
Now: Drug Discovery- Bayesian, ML, GNNs, KGs, Organoids Previously: Founder and CEO: AI for cancer diagnosis ‘14: PhD Biophysics #DataBS #ML #AI #KnowledgeGraphs #DataScience, #DataViz, #Stats, #Python #Organoids aneeshsathe.com 🧪🧬💻🤖🔬🦠🩺💊🐍 📍San Diego
@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.
@lauretig.bsky.social
Data Scientist. Poli sci PhD. Cyclist (Gravel, MTB, road). Bayes, causal inference, etc. Also: cats, food opinions. Views & opinions my own. Not investment advice. He/him
@datavisfriendly.bsky.social
ASA Fellow; #rstats developer of graphical methods for categorical and multivariate data; #datavis history of data visualization; #historicaldatavis; Milestones project Web: www.datavis.ca GitHub: github.com/friendly
@marielza.bsky.social
Retired UNESCO Dir for Digital Inclusion, Policies & Transformation. Chair, UN University, eGov Institute. UNESCO Women in STEM Committee Some pottery and cyanotyping Profile picture is of my face and torso Banner is a picture I took of a light garden
@joshpasek.com
Prof of Comm & Media and Polisci @Umich studying how people get and use political information and social measurement. Skills/competencies: data sci, DIY solar, election analytics, carpooling, #polcom, #polpsych, survey methods, AI (views are my own)
@mjskay.com
Assoc Prof Computer Science and Communication Studies at Northwestern. Infovis, HCI. Author of tidybayes & ggdist R pkgs. he/him. 🏳️🌈 https://mjskay.com/ Co-director https://mucollective.northwestern.edu Co-founder https://journalovi.org
@alycolumbus.bsky.social
Biostatistics PhD Candidate at Johns Hopkins Bloomberg School of Public Health | Founder, R-Ladies Irvine and Co-Organizer, R-Ladies Baltimore | Data Science and Information Security/Privacy | #RStats #PyData Website: https://alyssacolumbus.com
@leonievogelsmeier.bsky.social
Assistant Professor improving (assessment of) measurement in intensive longitudinal data Department of Methodology and Statistics, Tilburg University, The Netherlands Ambassador for the Tilburg Experience Sampling Center: https://experiencesampling.nl/
@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)
@nathanielforde.bsky.social
https://nathanielf.github.io/ Statistics, Probability previously Logic and Philosophy
@mgorinova.bsky.social
ex-@TwitterCortex @Birdwatch 💙 | Now LLMs for innovation & IP 🚀 | PhD in probabilistic machine learning, loyal servant to a cat, collector of random variables, lover of well-placed puns https://mgorinova.github.io/
@alexlew.bsky.social
Theory & practice of probabilistic programming. Current: MIT Probabilistic Computing Project; Fall '25: Incoming Asst. Prof. at Yale CS
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
@lambdaphdp.bsky.social
Exploring {Probabilistic Programming w/ Typed λ-Calculi; Lean; Program Synthesis; Self-Improving A.I.; Evolutionary Genetics} @ umontreal. Ph.D. USherbrooke
@spinkney.bsky.social
I mostly post about probabilistic programming stuff, statistics, and R/Julia/Python (in that order). I'm a volunteer Stan developer and citizen scientist (papers on arxiv). Currently my day job is doing marketing analytics.
@trappmartin.bsky.social
ML Researcher @ Aalto University 🇫🇮. Previous: TU Graz 🇦🇹, originally from 🇩🇪. Doing: Reliable ML | uncertainty stuff | Bayesian stats | probabilistic circuits https://trappmartin.github.io/
@osazuwa.bsky.social
Probabilistic machine Learning, causal inference, language models. Teach at http://Altdeep.ai & @Northeastern, work at @MSFTResearch.
@aloctavodia.bsky.social
Research Fellow at Aalto University. Open source contributor #ArviZ, #Bambi, #Kulprit, #PreliZ, #PyMC, #PyMC-BART. Support me at https://ko-fi.com/aloctavodia https://bayes.club/@aloctavodia
@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.
@pymc-labs.bsky.social
The Bayesian Consultancy • Using PyMC to solve your most challenging data science problems • http://pymc-labs.com
@cfreer.bsky.social
Research Scientist at MIT studying interactions of randomness and computation