Triad sou.
Biostatistician, Bioinformatician.
My interests: Biostatistics, Bioinformatics, Survival Analysis, Meta-analysis, Diagnostic Statistics, and Causal Inference. https://linktr.ee/tridasou
@shihchingfu.com
Applied #statistician based in Whadjuk Noongar Boodja. Interested in #Bayesian inference for #Astrostatistics. #RStats and #Stan are my first loves, but now leaning into #python and #PyMC as well.
@owenforbes.bsky.social
Translational data science | Bayesian stats | Bridging data & impact | he/him
@melhumphries.bsky.social
Mum | Statistician | #SuperstarOfSTEM 2023-24 | Chef Sitting in the space between maths and AI
@davidjwarne.bsky.social
Senior Lecturer in Statistical Data Science at QUT in Mathematics. I do inference in ecology and biology. Stochastic modelling and Bayesian computation. Opinions=mine
@myramcguinness.bsky.social
Biostatistician who nerds out on clinical and epidemiological ophthalmology. 🇦🇺
@ghazalehd.bsky.social
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
@bharrap.bsky.social
doer of data things, mainly in #rstats biostatistics/data engineering/survey design Indigenous data sovereignty currently on Ngunnawal and Ngambri lands non-binary (they/them) not Indigenous benharrap.com
@analyticaledge.bsky.social
Statistician (she/her) | #rstats | Posts primarily about statistical ecology and fisheries (and pet chickens)
@emitanaka.org
Statistical Data Artist & Scientist at Australian National University 🇳🇿 Interested in mixed models, experimental design, plant breeding 🌱, bioinfo 🧬, data vis 📊, statistical practice, ML/AI 👩🏻💻 Dabbles in UI, UX, front-end & #rstats 📦 dev emitanaka.org
@robjhyndman.com
Professor of Statistics, Monash University, Australia. Interested in #forecasting, #rstats, #statistics. he/him http://robjhyndman.com
@marchenrion.bsky.social
I am a biostatistician with the Liverpool School of Tropical Medicine, based in Malawi, where I lead the Statistical Support Unit at the Malawi Liverpool Wellcome Research Programme.
@stats-tobby.bsky.social
Interested in biostats, R, regulatory science, clinical trials, time to event analysis, causal inference, ... he/him
@crisvarin.bsky.social
Professor of Statistics at Ca' Foscari University (Venice). Jazz Lover.
@jeffski.bsky.social
Professor of Statistics at the University of Toronto, Canada, and author of "Struck by Lightning". Info at: http://probability.ca
@mguindani.bsky.social
Statistician. Bayesian. Professor, Department of Biostatistics, University of California, Los Angeles. Views are my own. He/Him.
@maritbveierod.bsky.social
Professor in Biostatistics, Oslo Centre for Biostatistics and Epidemiology-OCBE, Dept. of Biostatistics, Univ. of Oslo, @ocbe.bsky.social @uio.no | Life-science epidemiology https://www.med.uio.no/imb/english/research/groups/epidemiological-studies/
@paulnaish.bsky.social
Publish Journals, walk dogs, eat donuts. #scicomm #mathematics #statistics #datascience #history #science #STS
@pierrealquier.bsky.social
Professor of Statistics @ ESSEC Business School Asia-Pacific campus Singapore 🇸🇬 https://pierrealquier.github.io/ Previously: RIKEN AIP 🇯🇵 ENSAE Paris 🇫🇷 🇪🇺 UCD Dublin 🇮🇪 🇪🇺 Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈
@pmafonso.bsky.social
PhD candidate in biostatistics at Erasmus MC working on joint modeling of time-to-event and longitudinal data. https://www.pafonso.com/
@edbonneville.bsky.social
Biostatistician and PhD Candidate at Leiden University Medical Center (LUMC), the Netherlands missing data/survival analysis/simulating stuff/making plots with questionable colour choices/ #Rstats #StatsSky
@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
@wesbonifay.bsky.social
Assoc Prof; Statistics, Measurement, & Evaluation in Education; University of Missouri.
@sbujkiewicz.bsky.social
Professor of Biostatistics Bayesian methods for evidence synthesis
@queenofmeta.bsky.social
Statistician, meta-analyst, “local mom” to my former students Johns Hopkins BA/MA 1978 U of Chicago PhD 1985
@firthstat.bsky.social
Research in #statistics, University of Warwick. https://warwick.ac.uk/dfirth Also @[email protected] (Mastodon) Current main interest is compositional data analysis. Programming in #rstats
@beckiesimpson.bsky.social
Medical statistician at the University of Sheffield. Posts are mainly work, music and animals... Views are my own
@carolelunny.bsky.social
I am an evidence synthesis methodologist and epidemiologist. I explore bias in Network Meta-Analysis and automation of bias assessment in systematic reviews. I work in Squamish, BC, and am an avid rock climber and gardener. #NMA #metaresearch
@maurerstats.bsky.social
Associate Professor of Medicine and Biostatistics, Mayo Clinic Lymphoma researcher; #lymsm https://www.mayo.edu/research/labs/lymphoma-biostatistics-data-science/overview
@oisinryan.bsky.social
Assistant Professor, Data Science and Biostatistics, UMC Utrecht | Causal Inference | Time Series | Computational Modeling
@amelia.mn
Associate professor of statistics and data science at the University of St Thomas. Into data visualization and reproducible research, obsessed with R. pronoun.is/she website: amelia.mn mastodon: @vis.social/@amelia
@prebeiro.bsky.social
🏳️🌈 Assoc. Prof. of Medicine & Biostatistics & Biomedical Informatics, Director of Epidemiology PhD Program, HIV/TB Epidemiologist @Vanderbilt. https://tinyurl.com/PeterRebeiro
@danielmalinsky.bsky.social
Assistant Professor of Biostatistics at Columbia. I study causal inference, graphical models, machine learning, algorithmic (un)fairness, social + environmental determinants of health, etc. Opinions my own. http://www.dmalinsky.com
@alexluedtke.bsky.social
associate professor of statistics @uw • causal inference, machine learning, nonparametrics alexluedtke.com
@larsvanderlaan3.bsky.social
Ph.D. Student @uwstat; Research fellowship @Netflix; visiting researcher @UCJointCPH; M.A. @UCBStatistics - machine learning; calibration; semiparametrics; causal inference. https://larsvanderlaan.github.io
@drjwolfson.bsky.social
Professor, UMN Biostatistics & Health Data Science. Co-founder, Daynamica (www.daynamica.com). Canadian still pronouncing Z the right way, usually.
@mattsydes.bsky.social
linktr.ee/mattsydes Head of Data-Driven Clinical Trials at NHS England. Hon Prof of Clinical Trials & Methodology at UCL. Hon Fellow at HDRUK. Always keen to talk clinical trials & evidence-based healthcare. Tied to kettle & news. Local trips by bike.
@sgschumacher.bsky.social
Epidemiologist passionate about making good use of technology, statistics, methodology & evidence-informed decision making to advance global health. Scientist @WHO Global TB Programme
@katiegillies.bsky.social
Professor of Clinical Trials Methodology & MRC Senior Non-Clinical Fellow. Mixed-methods. Generating evidence to inform design and delivery of participant centred trials using behavioural science.
@rogerjlewis.bsky.social
Emergency physician and statistician; Bayesian adaptive and platform trial clinical trial design and implementation; Senior Statistical Editor at JAMA.
@rachpips.bsky.social
Senior Lecturer in Medical Statistics and Clinical Trials, Imperial College London.
@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
@nataliexdean.bsky.social
Associate Professor of Biostatistics at Emory Rollins School of Public Health