@glouppe.bsky.social
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity.
@lottameijerink.bsky.social
PhD student @ Julius Center, UMC Utrecht | causal inference 🤝clinical prediction
@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
@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
@howard.fm
https://Answer.AI & https://fast.ai founding CEO; previous: hon professor @ UQ; leader of masks4all; founding CEO Enlitic; founding president Kaggle; various other stuff…
@sabine-e-grimm.bsky.social
@philipphennig.bsky.social
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
@deisenroth.bsky.social
Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him
@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.
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@judithabk6.bsky.social
Researcher at Inria Saclay, team Soda working on machine learning and causal inference for health data
@inference.vc
Secular Bayesian. Professor of Machine Learning at Cambridge Computer Lab Talent aficionado at http://airetreat.org Alum of Twitter, Magic Pony and Balderton Capital
@smaglia.bsky.social
Assistant prof in the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal | 🇮🇹🇸🇮 in 🇳🇱 | #UAI2025 program chair https://saramagliacane.github.io/
@gaelvaroquaux.bsky.social
Research & code: Research director @inria ►Data, Health, & Computer science ►Python coder, (co)founder of scikit-learn, joblib, & @probabl.bsky.social ►Sometimes does art photography ►Physics PhD
@rmcelreath.bsky.social
Anthropologist - Bayesian modeling - organic modem converting poetry into code - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
@sherrirose.bsky.social
Stanford Professor | Computational Health Economics & Outcomes | Fair Machine Learning | Causality | Statistics | Health Policy | Health Equity drsherrirose.org Lab manual: stanfordhpds.github.io/lab_manual Personal account
@edwardhkennedy.bsky.social
assoc prof of statistics & data science at Carnegie Mellon https://www.ehkennedy.com/ interested in causality, machine learning, nonparametrics, public policy, etc
@andershuitfeldt.net
Aspiring rationalist. Medical doctor (PGY 4, addiction medicine). In a past life, I was an epidemiologist. MB BCh BAO (Royal College of Surgeons in Ireland, 2008). ScD (Harvard School of Public Health, 2015).
@jonathan-bartlett.bsky.social
Biostatistician, London School of Hygiene & Tropical Medicine. Blogging at thestatsgeek.com
@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
@causalscience.org
Fostering a dialogue between industry and academia on causal data science. Causal Data Science Meeting 2024: causalscience.org
@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
@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
@philippbach.bsky.social
Post-doc: Causal machine learning, causality, data science, statistics, econometrics ; https://philippbach.github.io/
@alxndrmlk.bsky.social
"The Causal Guy" http://causalpython.io Author || Advisor || Educator Host at http://CausalBanditsPodcast.com Causal ML Tutor @ Uni of Oxford CausalSky: https://bsky.app/profile/did:plc:imz3rf35poonl7yxt7bogui4/feed/aaamrclcu3tfa
@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/
@urish.bsky.social
Machine learning researcher, working on causal inference and healthcare applications
@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
@richarddriley.bsky.social
Professor of Biostatistics • BMJ Deputy Chief Stats Editor • Books: "Prognosis Research in Healthcare: concepts, methods & impact" & "IPD Meta-Analysis: A Handbook for Healthcare Research.." • Websites: www.ipdma.co.uk & www.prognosisresearch.com • Whovian
@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
@gscollins.bsky.social
Statistician • Professor • University of Oxford • NIHR Senior Investigator • 🚴♂️ TRIPOD+AI: tinyurl.com/2dsb9e75 EQUATOR Network: tinyurl.com/5dw4rcy5 Google scholar: tinyurl.com/ysv3zwek #prediction #machinelearning #AI #openscience #metascience
@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.
@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
@andrewlbeam.bsky.social
Chief Technology Officer FL97, Inc. - Professor @ Harvard Founding Editor NEJM AI, Co-host AI Grand Rounds 🎙️, Co-founder Generate Biomedicines, Inc
@f2harrell.bsky.social
Professor of Biostatistics Vanderbilt University School of Medicine Expert Biostatistics Advisor FDA Center for Drug Evaluation and Research https://hbiostat.org https://fharrell.com
@vanamsterdam.bsky.social
machine learning, causal inference, healthcare - assistant professor in dep. of Data Science Methods, Julius Center, of University Medical Center Utrecht, the Netherlands; wvanamsterdam.com
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: [email protected]
@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
@kdpsingh.bsky.social
Faculty at UC San Diego. Chief Health AI Officer at UC San Diego Health. Creator of Tidier.jl #JuliaLang. #GoBlue. Views 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
@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