R, data, 🐕, 🍸, 🌈. He/him.
Life science researcher an a bioinformatician interested in experimental design, statistics, and research rigor
Assistant professor at Georgia State University, formerly at BYU. 6 kids. Study NGOs, human rights, #PublicPolicy, #Nonprofits, #Dataviz, #CausalInference.
#rstats forever.
andrewheiss.com
Signal: andrewheiss.01
Jack of some trades, master of none: public health, epi and genetics mainly. Arsenal supporter, hiker. Live in LA. If home is also where the heart is England, South Africa, Papua New Guinea. Photos are my own. Views expressed are my own.
Clinical psychologist and doctoral student working to improve internet-based CBT. Interested in stats and open science. #ClinPsych #cbtworks
https://www.oru.se/english/employee/magnus_karlsson-good
I fart in your general direction
(Interests: Clin/Neuro/Dev/Trauma/PM&R/HealthPsy, Education, Teaching, Handicaps, Inclusion, Accessibility &Politics)
@neurofrogg@pouet.chapril.org
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.
Statistician. PhD @Harvard • Masters degree in pure math • Follow me for fun, nerdy content.
Sign up to my newsletter: kareemcarr.substack.com
Epidemiologist, writer, bon vivant. Professor @UNC (opinions my own); co-PI of STAR Cohort; "Morpheus of the Table 2 Fallacy.” He/him.
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
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
Professor of Epidemiology/Global Health. Caring about kindness in academia. @busph Free Associations podcast co-host pophealthex.org/fa
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
Biostatistician • Associate Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
assoc prof of statistics & data science at Carnegie Mellon
https://www.ehkennedy.com/
interested in causality, machine learning, nonparametrics, public policy, etc
Faculty at UC San Diego. #rstats. Creator of Tidier.jl #julialang. #GoBlue. Views own.
Canadian epidemiologist and causal inference person at Erasmus Medical Center. Big fan of Northern Expsoure and Car Talk.
jeremylabrecque.org
Statistician • Professor • 125th Anniversary Chair • University of Birmingham • NIHR Senior Investigator • 🚴♂️
Google scholar: tinyurl.com/ysv3zwek
TRIPOD+AI: tinyurl.com/2dsb9e75
EQUATOR Network (https://www.equator-network.org)
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
Professor of Medical Statistics, University of Bristol, UK: meta-analysis methods, diagnostic test accuracy, screening evaluation, Bayesian modelling. Any views my own or my cats’.
Professor, Statistical learning in molecular medicine. Director Oslo Centre for Biostatistics and Epidemiology @ocbe.bsky.social, @uio.no & Oslo University Hospital. Posting in my own capacity. (Bio)statistics, climate breakdown, train journeys.
PhD | Epidemiology, Applied #CausalInference, #PublicHealth, Stroke research, improving quality, peer review, higher ed & research assessment reform
@ Charité in #Berlin
Likes: improving science & improv comedy
#EpiSky #Epidemiology #HigherEd #AcademicSky
Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation.
https://idiazst.github.io/website/
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.
Medical Statistician at KU Leuven. My brain is like a snail but it gets there in the end (or not).
https://linktr.ee/laurewynants
Medical Statistician. Associate Professor at LSHTM.
Research Fellow at @clscohorts.bsky.social
epidemiology, causal inference, methods, meta-science
Subscribe to the Causal Inference Interest Group: https://cls-data.github.io/CIIG/
Software engineer (MLOps), previously data scientist, previously research psychologist. Teetotal vegan YIMBY cyclist in Austin, TX, USA.
Aspiring rationalist. Medical doctor (PGY 5, 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).
Assistant Professor, Data Science and Biostatistics, UMC Utrecht | Causal Inference | Time Series | Computational Modeling
Professor in Clinical epidemiology, with a focus on medical tests and diagnostic test accuracy #SystematicReviews. Interested in #reproducibility of science. osiris4r.eu
#AcademicSky #EpiSky
Health at Microsoft AI
Deputy Editor @ai.nejm.org
Hon Associate Professor @unibirmingham.bsky.social
Prev Apple, Prev ophthalmology doctor in the NHS
Medical statistician and Director of PCTU, mum and reader of just about anything I can get my hands on (preferably whilst drinking tea and eating cake)
Statistical Science | Associate Director | Early Oncology | AstraZeneca
+ Volunteer for Royal Statistical Society
+ Founder of Celebrating Diversity SIG
Biostatistician, London School of Hygiene & Tropical Medicine. Blogging at thestatsgeek.com
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.
🧬 💻 Assoc. Prof. of Bioinformatics at DTU 🇩🇰 • Interested in T-cell Receptors • Developing and applying machine learning based methodology for understanding the mechanisms of immune activation • All bsky posts are mine!
Consultant biostatistician @amsterdamumc, with PhD from @CWInl. Proponent of Registered Reports for RCT research. Research on ALL-IN prospective meta-analysis, anytime-valid statistics and https://en.wikipedia.org/wiki/E-values #stats #openscience
Senior Lecturer in Health Data Science, University of Manchester. Research interests in statistical methods for clinical prediction/prognostic models
Epidemiological investigator of diet and disease. Also pizza expert and parent.
@au.dk
Some Italian guy who lives in London and works on statistical methods in clinical trials for a living.
#AI is a tool not a goal | People who think we should stop training radiologists really annoy those of us who doRadiology 😉| doRadiology.com | https://DICOM-converter.com | https://DICOM-anonymizer.com
Energy Market Analyst, Agile Facilitator & systemic Coach, nature lover, meditator. Transformation is my passion.
Biostatistician | PhD in Health Data Sciences
machine learning, causal inference, healthcare - assistant professor in dep. of Data Science Methods, Julius Center, of University Medical Center Utrecht, the Netherlands; wvanamsterdam.com
Researcher @ University of Glasgow, UK. Epidemiologist interested in mental-health and wellbeing, health inequalities, administrative data, education.
Trying to learn Italian and Spanish.
Aspiring wastrel, applied econometrician. At http://rachaelmeager.com for bayes, dev econ and meta science. Also at http://rottenandgood.substack.com for writing, art, death and emotions. Gay academic nonbinary weirdo, cursed to be serious in life.
Playing with data, visualizing it for humans at flowingdata.com
official Bluesky account (check username👆)
Bugs, feature requests, feedback: support@bsky.app
MD, PhD, assistant professor, Intensive Care, Rigshospitalet and Section of Biostatistics, Dept. of Public Health, University of Copenhagen. Clinical trials (incl. adaptive+platform), evidence-based medicine, methodology, Bayes. www.incept.dk
Cardiologist @ St. Olavs hospital | #POCUS research @ NTNU| #Echo | #CriticalCare | #Physiology | #Equity | #SDH | #Statistics | #Rstats | #MedSky | #CardioSky | #CCCSky | #emimcc | Trondheim MDG💚 |🇳🇴🇩🇰 Trondheim, Norway | he/him/han/ham
Docent in biostatistics at Uppsala University and Expert Statistician at UCR, Uppsala Clinical Research Center. Randomisation is the only true magic.
Biostatistician at UCR - Uppsala Clinical Research Center | prediction models | biomarker research | #rstats #stats | YNWA
Biostatistician, prognosis researcher, beginner.
Statistician, Africa Health Research Institute. Views are my own.
shiny epi people podcast host | epidemiologist studying nutrition and perinatal health | mom of 3 | drinker of wine (see previous) | she/her
I try to put straight lines through things but usually fail. Try to be Bayesian when I can. Views my own. RT/like != endorsement.
Biostatistician working on methodology at Novartis. Simulation studies, non-inferiority, missing data, estimands, covariate adjustment…
He/him
https://tpmorris.substack.com/
Professor of Statistics at NorthwesternU, Faculty Fellow at IPRatNU. meta-analysis, causal generalization, education, psychology.
Montrealer from Oklahoma.
Professor of Biostatistics and Epidemiology at the London School of Hygiene & Tropical Medicine.
80% gynecological oncologist Västerås 🇸🇪. 20% HTA-unit Camtö Örebro Hospital. Views my own. Too dumb and lazy for doing research but interested how to evaluate medical research&evidence.
Words matter. Dislike lifscience like QoL&D engl, swed, germ
Associate Professor @Unipd | Affiliate @METRICStanford | Scholar @FulbrightPrgrm | #Metaresearch #Openscience #Psychotherapy #Trials | @ERC_Research DECOMPOSE
https://cordis.europa.eu/project/id/101042701
Sports injury epidemiologist, esp. NFL; long-suffering Dolphins fan, but I repeat myself
Pediatrician and Clinical Geneticist at UW/Seattle Children’s. (PGY4)
PhD in Machine Learning for Healthcare
Past: Harvard Med, MIT, Stanford
MS student in Statistics
BS in Statistics
Assistant Prof, @uoftnutrisci.bsky.social . Experimental #Metabolism Researcher, #Dietitian.
Associate Editor, American Journal of Clinical Nutrition.
By way of: UC Berkeley, Baylor CoM, NIH, Cornell
Kcklatt.substack.com
Former virologist. Current Senior Manager of Data Services | #rstats #ReproducibleResearch
"Some of my best friends use spreadsheets"
I use mathematics, computation, statistics, & machine learning to help think about biology, engineering, & other things. University of Auckland, NZ. Research: http://tinyurl.com/ojmscholar, Teaching: https://tinyurl.com/ojmteaching
📊📉I am an epidemiologist interested in all things RWE, statistics, health economics, and technology. 🏥⚕️
Ecology, conservation, statistics, reproducibility https://camargue.unibas.ch Retire statistical significance https://nature.com/articles/d41586-019-00857-9
Statistician at the Leiden University Medical Center in the Netherlands.
Incoming Assistant Teaching Professor at Villanova University • Clinical Research Specialist at UNC Charlotte’s Violence Prevention Center • Research Fellow @ the Kinsey Institute • Focused on gender, sexuality, and body image
senior lecturer in statistics, penn
NYC & Philadelphia
https://www.stat.berkeley.edu/~winston
Mostly posting about statistics and Psychology.
Swiss & British statistician.
Ph.D., epidemiology. research software engineer @ Stanford Health Policy. living in Ann Arbor. open-source data science. causal inference. doing poems on aircrafts. approximately Bayesian. formerly Posit, Apple, AmeriCorps. 心を燃やせ。sic semper tyrannis.
Epidemiologist interested in causal inference. Currently Visiting Faculty at @yalesph.bsky.social.
See my Intro to Causal Inference Course: https://www.causal.training/
See the Causal Inference Interest Group: https://cls-data.github.io/CIIG/
#EpiSky
James Beard winning WaPo columnist writing about food & science, author of TO BOLDLY GROW, gentleman oyster farmer.
Biostatistician @IDEXX formerly at harvardmed, @BIDMChealth, @nasa. Big data, clinical trials, and medical diagnostics. Mainer. Opinions are my own. he/him
He/she/it - 's' muss mit.
We're lower than the world!
R easystats project:
https://easystats.github.io/easystats/
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
Professor, UW Biology / Santa Fe Institute
I study how information flows in biology, science, and society.
Book: *Calling Bullshit*, http://tinyurl.com/fdcuvd7b
LLM course: https://thebullshitmachines.com
Corvids: https://tinyurl.com/mr2n5ymk
he/him
Data Science advising / consulting. Formerly startup CTO, Data Science Biden 2020, Stitch Fix, Etsy. PhD JHU Biostar. Co-host Not So Standard Deviations podcast. 🥳😴🧘🐈⬛
Ph.D, stats lover/writer✍🏼, #statistics #scicomm #datascience #statstiktok 👩🏻💻 she/her
data scientist studying how kids learn to speak, dad, jump roper, bayesian, tjmahr.com, Madison, WI
Whoa, everything's computer!
postdoc @ stanford econ + incoming assistant prof @ oregon state statistics. networks, causal inference, contagion, measurement error, #rstats. he/him
https://www.alexpghayes.com
🧪 Data science, survey science, social science
💻 Director of Data Science @ Microsoft Garage
[Posts do not represent my employer]
🧮 Stats, R, python
📝 Science, Research: measurement, social biases, emotion. Ex-academic but scientist at heart
networks, contagion, causality
faculty at MIT
AI in Bio & Health & Therapeutic Development
Bio: https://linktr.ee/mnarayan
Substack: https://blog.neurostats.org
Peek into my brain: notes.manjarinarayan.org
Previously @dynotx @StanfordMed PhD@RiceU_ECE | BS@ECEILLINOIS
🧪🧮⚕️🧬🧠🖥🤖📈✍️🩺👩📈📉
Father in Training | #Rheumatology & Immunology Clinical Development | Pharmacoepidemiology | https://www.linkedin.com/in/kazyos/
MD/PhD | Asst Prof | CVD Outcomes & HSR | no COI | social disparities=health disparities | facts over hype | funny on occasion 🤦🏻♂️
Anthropologist - Bayesian modeling - science reform - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
Assistant Professor, Department of Pediatrics NCH/OSU | #episky #statsky | @OSUpublichealth and @nationwidekids: Ohio Perinatal Research Network, Center for Perinatal Research | 3 kids | she/her
