Lotta Meijerink
PhD student @ Julius Center, UMC Utrecht | causal inference 🤝clinical prediction
@ewancarr.bsky.social
Senior Lecturer, Biostatistics and Health Informatics, King’s College London. He/him.
@denistalbotbiostat.bsky.social
Professor of biostatistics at Université Laval, causal inference enthusiast, dog-lover
@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/
@margaritamb.bsky.social
Professor of Biostatistics. University of Melbourne & Murdoch Children’s Research Institute. Research in causal inference and missing data methods + child, lifecourse and social epidemiology
@ariadnerivera.bsky.social
Epi PhD Candidate Interests in causal inference, social epi, policy evaluation, dev economics.
@philippbach.bsky.social
Post-doc: Causal machine learning, causality, data science, statistics, econometrics ; https://philippbach.github.io/
@jiaxinzhang.bsky.social
Postdoctoral biostatistician @unimelb @MCRI_for_kids @vicbiostat | Interests: causal inference, missing data
@wpball.com
Interested in working out how to reduce unfair and avoidable differences in health. Mostly youth mental health. Chancellor's Fellow at Robert Gordon University | Social Epidemiologist | Pro Cycling | Rstats | Causal Inference 🇮🇪🏴🍉
@alexjhess.bsky.social
doctoral student 👨🎓 in Computational Psychiatry at ETH Zurich | passionate about sports 🚴♂️🏒🏓🏋️🏂, food 🌮, causal inference ➡️⬅️, Bayesian stats 📊, and the brain 🧠
@epilorenzofabbri.com
• Looking for postdoc in epidemiology! • CV: https://github.com/lorenzoFabbri/cv-quarto/blob/main/cv.pdf • Currently at ISGlobal, Barcelona. #EpiSky #CausalSky
@kellyvanlancker.bsky.social
Postdoc at Ghent University. Interested in causal inference, clinical and pragmatic trials. Kellyvanlancker.com
@louisepoppe.bsky.social
FWO postdoc | Experimental and theoretical psychologist. Interested in behaviour change, causal inference, and research reproducibility.
@berkeleyctml.bsky.social
CTML, at UC Berkeley, is an interdisciplinary research center for advancing, implementing, and disseminating methodology to address problems arising in public health and clinical medicine. https://linktr.ee/ctml_ucberkeley
@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!
@mathildembsloth.bsky.social
PhD student in public health and epidemiology @ University of Copenhagen
@dagophile.bsky.social
Interested in all things causal modeling. Ongoing projects on causal analyses of discrimination and on causation in dynamical systems.
@beyerslouw.bsky.social
Assistant Professor | RSM Erasmus University 🇳🇱 #causality #decisionmaking #uncertainty #bayesianlogic
@thisinstitute.cam.ac.uk
We are The Healthcare Improvement Studies Institute. We're strengthening the evidence base for healthcare improvement. Based at the University of Cambridge and made possible by the Health Foundation. thisinstitute.cam.ac.uk
@dholzmueller.bsky.social
Postdoc in machine learning with Francis Bach & @GaelVaroquaux: neural networks, tabular data, uncertainty, active learning, atomistic ML, learning theory. https://dholzmueller.github.io
@lennartpurucker.bsky.social
PhD student sup. by Frank Hutter; researching automated machine learning and foundation models for (small) tabular data! Website: https://ml.informatik.uni-freiburg.de/profile/purucker/
@nickerickson.bsky.social
Author of AutoGluon: auto.gluon.ai Senior Applied Scientist @ AWS AI #opensource #automl
@safarlou.bsky.social
Postdoctoral researcher in Ethics | Exposome research | Environmental epidemiology | Ethics of Biomedical Innovation
@marcbonten.bsky.social
Professor of Molecular Epidemiology of Infectious Diseases @UMCUtrecht. CEO of the European Clinical Research Alliance on Infectious Diseases, @ecraid. All opinions my own.
@vickersbiostats.bsky.social
Biostatistician at Memorial Sloan Kettering Cancer Center. Special interest in prostate cancer, risk prediction, patient-reported outcomes, decision-making.
@selbouhaddani.bsky.social
Assistant professor Biostatistics || knows something about AI + Machine Learning || R+Rcpp+reticulate || OmicsPLS
@gelovennan.bsky.social
biostatistician * causal inference * causal prediction * time-to-event outcomes * observational data & trials * @LUMC_Leiden
@rbly.bsky.social
Assistant professor at Duke-NUS medical school. Mostly interested in health economics, biostats and clinical informatics.
@lasaibarrenada.bsky.social
Learning to research less but better at KU Leuven. Statistics and models for medicine.
@carlosgposes.bsky.social
PhD candidate at UMC Utrecht. Causal inference, real world evidence
@robinvernooij.bsky.social
Assistant professor #UMCUtrecht | Nephrology | Dialysis | Cardiovascular diseases | Applied data science | 🚴+🏃♂️
@pbruijning.bsky.social
Prof. of Vaccination and Infection Control Epidemiology @UMCUtrecht, the Netherlands
@ellisamsterdam.bsky.social
Promoting research excellence and advancing breakthroughs in AI The Bluesky account of the ELLIS unit Amsterdam. For more information, visit our website: https://ivi.fnwi.uva.nl/ellis/
@phillip-lippe.bsky.social
Research Scientist GoogleDeepMind. Working on large-scale pretraining at Gemini. https://phlippe.github.io/
@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/