Chercheur en calcul haute performance et calcul quantique appliqués au domaine de l’énergie.
Assistant Research Scientist @ Indiana University School of Public Health-Bloomington
Meta-science, nutrition, obesity, and aging
Intensivist/Anaesthetist. Novice Researcher & Statistician. PhD Cand. Chronic Pain after ICU & Longitudinal Causal Inference. Bayes-curious. #rstats #T1DM
Assistant Professor, Case Western Reserve University (CCLCM). Staff Biostatistician, Cleveland Clinic.
Epidemiologist interested in causal inference, infectious disease, trial design
https://christopherbboyer.com/about.html
#causalsky #statssky #episky
Interested in methods for population-based research in epidemiology and public health.
biostatistician * causal inference * causal prediction * time-to-event outcomes * observational data & trials * @LUMC_Leiden
The Canadian Society for Epidemiology & Biostatistics | La société canadienne d'épidémiologie et de biostatistique #epidemiology #biostatistics
Associate professor at Columbia University
Epidemiology, causal inference, addiction medicine
https://kararudolph.github.io/
Statistician @CEBU MCRI in Melbourne Australia
Causal inference #causalsky + Causal machine learning + Design and analysis of complex sampling + #rstats
tongchen.netlify.app
Building personalized Bluesky feeds for academics! Pin Paper Skygest, which serves posts about papers from accounts you're following: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest. By @sjgreenwood.bsky.social and @nkgarg.bsky.social
Bringing together data science expertise across LSHTM to tackle the biggest global health problems.
Investigator @mgbresearch.bsky.social and @causalab.bsky.social. Interested in epidemiology, causal inference and pedagogy.
Exploring the American idea through ambitious, essential reporting and storytelling. Of no party or clique since 1857. http://theatlantic.com
Le Centre de recherche du CHUM (#CRCHUM) est le plus grand centre de recherche dans le domaine des sciences biomédicales et des soins de santé de l’Université de Montréal. Il figure parmi les plus imposants et les plus modernes au Canada.
Lieu de haut savoir scientifique, l’IRCM est un institut de recherche biomédicale de réputation internationale situé en plein cœur du milieu universitaire montréalais.
L'Institut de recherche du Centre universitaire de santé McGill. Faire progresser la santé de précision tout au long de la vie.
The Research Institute of the McGill University Health Centre. Advancing precision health throughout the life course.
Le Centre hospitalier de l’Université de Montréal se distingue par l’excellence de ses soins et l’expertise de ses spécialistes et professionnels.
https://www.chumontreal.qc.ca/
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
Associate Professor, Dept of Health, Behavior & Society @Johns Hopkins Bloomberg School of Public Health. Studying health communication 🩺📺, tobacco control 🚬, cannabis 🍃, misinformation 📊. @upenn @usc alum. I promise I’m still punk.
Started with lasers and nonlinear optics, now with biomedical informatics, data and statistics in health sciences.
Research in #Metaresearch, #rheumatology and #publichealth at HUG and University of Geneva.
#Rstats ninja, #Openscience
ResearchScientist, VisitingAcademic @oii.ox.ac.uk:
EmergingTechnologies, MentalHealth/Wellbeing/Learning,
MetaScience, ResearchIntegrity, MixedMethods.
SocialEquity, People&Planet, ActiveTravel, Sustainability.
FirstGen ImposterInAcademia
Professor of biostatistics at the University of Oslo. Causal inference, survival/event history analysis, jmgran.github.io
Biostatistician at Memorial Sloan Kettering Cancer Center. Special interest in prostate cancer, risk prediction, patient-reported outcomes, decision-making.
A European research network on "Sharing and Re-using clinical trial data to maximise impact."
Postdoctoral biostatistician at Murdoch Children's Research Institute and University of Melbourne★Biostatistics research : causal inference and missing data problems in child health, population allergy and social epidemiology ★she/her ★Views my own
Assistant professor of biostatistics at McGill
Causal inference, high-dimensional statistics, machine learning, precision medicine, and statistical software
https://pboileau.ca/
Première communauté francophone sur la Roue du Temps de Robert Jordan.
On parle aussi beaucoup du Cosmère de Sanderson !
Site ==> https://pierredetear.fr
Discord ==> https://discord.gg/CUA4bvBK7S
Twitch ==> https://twitch.tv/pierredetear
Econometrics, Statistics, Computational Economics, etc
http://donskerclass.github.io
🇺🇲 in 🇨🇭. 🏳️⚧️
Postdoc @ NYU Grossman; stats / ML + causal inference
https://alecmcclean.github.io/
Genetic epidemiology and pharmacogenomics research, U de Montréal
Exploring the world through flags and maps🌍 Your daily dose of geography, one post at a time!
Snr Research Fellow in Biostatistics at Murdoch Children's Research Institute & UniMelb, research in causal inference & missing data methods, also in child/ adolescent/ intergenerational health, cancer, & social epidemiology (she/her)
On Wurundjeri land
Professor of Biostatistics. University of Melbourne & Murdoch Children’s Research Institute. Research in causal inference and missing data methods + child, lifecourse and social epidemiology
Prof of Biostatistics, UCL
Professor of Statistics at University of Jyväskylä.
Interested in causal models, study design, and missing data.
Homepage: http://users.jyu.fi/~jutakarv/
The European Causal Inference Meeting - causal inference in health, economic and social science.
Professor of biostatistics at Université Laval, causal inference enthusiast, dog-lover
Metascience and innovative methods to improve population health
Co-Editors-in-Chief: @andreatricco.bsky.social and @davidit.bsky.social
Jclinepi.com
Published by Elsevier
L’UQAM offre plus de 375 programmes d’études et rayonne dans de nombreux domaines de recherche et de création.
Over 200 years of great education, excellent research, in service to society.
🔗 www.mcgill.ca
Chroniques d'un libraire ordinaire
Montréalaise par ses racines, internationale par vocation, l'UdeM compte parmi les grandes universités de recherche dans le monde. #umontreal
umontreal.ca
Heisenberg Professor for Biostatistics at the Department of Statistics, LMU München | causal inference - missing data - HIV
michaelschomaker.github.io
shiny epi people podcast host | epidemiologist studying nutrition and perinatal health | mom of 3 | drinker of wine (see previous) | she/her
Assistant professor at Northeastern (Health Sciences) & the Roux Institute in Portland, ME. Epidemiologic methods, causal inference, biostats, reproductive and perinatal epi, #rstats, teaching & learning. she/her 🐶🚴♀️🏔️🎗️
econ, epi, stats, meta, causal inference mutant scientist, epistemic humility fairy godmother, chaos muppet.
doing researchy metasciencey stuff at the Center for Open Science
Facilitating dialogue among those engaged in the research and practice of social epidemiology & the social determinants of health around the world. https://www.social-epi.org
Founded in 1920 and owned by Johns Hopkins Bloomberg School of Public Health.
Epidemiologist by day and often night | Environment | Mixtures | CausalBlueSky
Professor of Statistics, Monash University, Australia. FAA, FASSA. Interested in #forecasting, #rstats, #statistics. he/him http://robjhyndman.com
R, data, 🐕, 🍸, 🌈. He/him.
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
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
Professor and Chair of the Department of Epidemiology at Boston University School of Public Health
Agnostic statistician (frequentist, bayesian, likelihoodist, fiducial) | Posts about statistics in medicine at http://lesslikely.com | | #StatsTwitter • #EpiTwitter • #RStats
Biostatistician at UCR - Uppsala Clinical Research Center | prediction models | biomarker research | #rstats #stats | YNWA
machine learning, causal inference, healthcare - assistant professor in dep. of Data Science Methods, Julius Center, of University Medical Center Utrecht, the Netherlands; wvanamsterdam.com
Biostatistician | PhD in Health Data Sciences
Some Italian guy who lives in London and works on statistical methods in clinical trials for a living.
Pediatrician and Clinical Geneticist at UW/Seattle Children’s. (PGY4)
PhD in Machine Learning for Healthcare
Past: Harvard Med, MIT, Stanford
Senior Research Fellow (Futures Fellow) & MRC New Investigator based at the University of Glasgow. Statistician. Making research and statistics more relevant to patients and public.
Biostatistician, London School of Hygiene & Tropical Medicine. Blogging at thestatsgeek.com
Biostatistician, prognosis researcher, beginner.
Chief Technology Officer, Lila Sciences - Professor @ Harvard
Founding Editor NEJM AI, Co-host AI Grand Rounds 🎙️, Co-founder Generate Biomedicines, Inc
Assistant Professor, Data Science and Biostatistics, UMC Utrecht | Causal Inference | Time Series | Computational Modeling
Principal Research Fellow in Medical Statistics at MRC Clinical Trials Unit at UCL. Clinical trials, estimands, estimation.
https://scholar.google.co.uk/citations?user=Lf0jsXAAAAAJ&hl=en&oi=sra
https://linktr.ee/laurewynants
Medical Statistician at KU Leuven. My brain is like a snail but it gets there in the end (or not).
Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation.
https://idiazst.github.io/website/
Swiss & British statistician.
Centre for Biostatistics, Uni of Manchester. INSPECT-SR, a tool to identify problematic clinical trials. Research misconduct, fertility research. Own opinions.
Faculty at UC San Diego. #rstats. Creator of Tidier.jl #julialang. #GoBlue. Views own.
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
Author: For the a common Good: Philosophical Foundations of Research Ethics (OUP) and K&L Gates Professor of Ethics and Computational Technologies at CMU. Recent papers:
https://arxiv.org/abs/2308.00868
https://doi.org/10.1016/j.xcrm.2022.100622
Whoa, everything's computer!
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
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
Medical Statistician. Associate Professor at LSHTM.
Professor at Uni Bern
Meta Science ⸾ Research Methods ⸾ IT Security & Privacy ⸾ Technology Effects
https://the100.ci & @error.reviews
Open Science. Meta-Science. Editor-in-Chief at Meta-Psychology.
Currently a visiting researcher at @bennettoxford.bsky.social. Normally at Uni of Bern.
Meta-scientist building tools to help other scientists. NLP, simulation, & LLMs.
Creator and developer of RegCheck (https://regcheck.app).
1/4 of @error.reviews.
🇮🇪
The Institute for Replication (I4R) works to improve the credibility of science by promoting and conducting reproductions and replications.
i4replication.org
Assistant Professor at the Meta-Research Center, Tilburg University, NL. Interested in reproducibility, replicability, and overall robustness of psychological science. Developer of #statcheck: a spellchecker for statistics. She/her. Mom.
Methodology prof in psychology at the University of British Columbia working on Schmeasurement. Into big team science, open science, and latent variables. Flake lab does not study flakes.
#rstats #PsyTeachR #PsySciAcc #OpenResearch #CodingClub #ManyFaces (overwhelmed by social media) 🏳️🌈 she/they
Statistics, cognitive modelling, and other sundry things. Mastodon: @richarddmorey@tech.lgbt
[I deleted my twitter account]
Econ prof at Seattle University. Book The Effect http://theeffectbook.net out now! Substack https://nickchk.substack.com/ Twitter @nickchk
Visualisation and graphics @posit.co
Classic Generative Art Weirdo using 🖤 and R: http://thomaslinpedersen.art and http://deca.art/thomasp85
he/him
Biostatistician. Baritone. He/Him.
Product of more than one country.
May contain nuts.
Assistant prof at Utrecht University, trying to make science as reproducible as non-scientists think it is. Blogs at @the100ci.
Co-founder & editor, Works in Progress. Writer, Scientific Discovery. Podcaster, Hard Drugs. Advisor, Coefficient Giving. // Previously at Our World in Data.
Newsletter: https://scientificdiscovery.dev
Podcast: https://harddrugs.worksinprogress.co
🏳️🌈
Professor of Biostatistics and Epidemiology at the London School of Hygiene & Tropical Medicine.
Our World in Data is a free, nonprofit website with a mission to increase understanding of the world’s largest problems and drive informed action to solve them. Based out of Oxford University (@ox.ac.uk), founded by @maxroser.bsky.social.
Advancing knowledge for population health https://socsocmed.org.uk/member-registration/
Epidemiology, Kinesiology, Psychology.. Integrity.
A steward of the Earth, dedicated to its care. Striving to walk humbly, speak gently, act justly, and stand up for what is right with compassion.
Canadian epidemiologist and causal inference person at Erasmus Medical Center. Big fan of Northern Expsoure and Car Talk.
jeremylabrecque.org
Statistician and metascientist. Professor of biometrics at LMU Munich Medical and Mathematical Faculties, committed to open science, member of the Munich Center of Machine Learning. Opinions are mine.
Paul Zivich, Assistant (to the Regional) Professor
Computational epidemiologist, causal inference researcher, amateur mycologist, and open-source enthusiast.
https://github.com/pzivich
#epidemiology #statistics #python #episky #causalsky
