James Deardorff
Geriatrician and research faculty at UCSF. Former UCSF Geriatrics clinical and T32 aging research fellow, Duke IM resident, and SLU med student.
@mariaglymour.bsky.social
Professor and Chair of the Department of Epidemiology at Boston University School of Public Health
@kareemcarr.bsky.social
Stats PhD student @Harvard • My posts are a cool, refreshing breeze of nerdy content crafted for a broad audience. Follow me to enter the nerd space safe.
@adamjkucharski.bsky.social
Epidemiologist/mathematician. Professor at London School of Hygiene & Tropical Medicine. Author of The Rules of Contagion and The Perfect Bet. Views own. New book Proof: The Uncertain Science of Certainty available now: proof.kucharski.io
@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/
@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/
@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
@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
@epidbydesign.bsky.social
Epidemiologist, writer, bon vivant. Professor @UNC (opinions my own); co-PI of STAR Cohort; "Morpheus of the Table 2 Fallacy.” He/him.
@chelseaparlett.bsky.social
Ph.D, stats lover/writer✍🏼, #statistics #scicomm #datascience #statstiktok 👩🏻💻 she/her
@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
@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
@mattpfox.bsky.social
Professor of Epidemiology/Global Health. Caring about kindness in academia. @busph Free Associations podcast co-host pophealthex.org/fa
@malcolmbarrett.malco.io
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.
@unityofvirtue.bsky.social
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
@lucystats.bsky.social
Biostatistician • Assistant Prof @ Wake Forest University • former postdoc @ Hopkins Biostat • PhD @ Vandy Biostat • 🎙 Casual Inference • lucymcgowan.com
@lizstuart.bsky.social
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
@neurostats.org
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 🧪🧮⚕️🧬🧠🖥🤖📈✍️🩺👩📈📉
@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
@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.
@jdwilko.bsky.social
Centre for Biostatistics, Uni of Manchester. Currently developing INSPECT-SR, a tool to identify problematic clinical trials. Research misconduct, fertility research. Own opinions.
@jeremylabrecque.bsky.social
Canadian epidemiologist and causal inference person at Erasmus Medical Center. Big fan of Northern Expsoure and Car Talk. jeremylabrecque.org
@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
@drhayleyjones.bsky.social
Associate Professor in Medical Statistics, University of Bristol, UK: meta-analysis methods, diagnostic test accuracy, Bayesian modelling. Any views my own or my cats’.
@manuelazucknick.bsky.social
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.
@jlrohmann.bsky.social
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
@idiaz.bsky.social
Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation. https://idiazst.github.io/website/
@boulesteixlaure.bsky.social
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.
@benvancalster.bsky.social
Medical Statistician at KU Leuven. My brain is like a snail but it gets there in the end (or not).
@brennankahan.bsky.social
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
@georgiatomova.bsky.social
research fellow @clscohorts.bsky.social epidemiology | causal inference | methods
@jake-westfall.bsky.social
Software engineer (MLOps), previously data scientist, previously research psychologist. Teetotal vegan YIMBY cyclist in Austin, TX, USA.
@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).
@oisinryan.bsky.social
Assistant Professor, Data Science and Biostatistics, UMC Utrecht | Causal Inference | Time Series | Computational Modeling
@mariskaleeflang.bsky.social
Professor in Clinical epidemiology, with a focus on medical tests and diagnostic test accuracy #SystematicReviews. Interested in #reproducibility of science. #AcademicSky #EpiSky
@xiaoliu.bsky.social
Health at Microsoft AI Deputy Editor @ai.nejm.org Hon Associate Professor @unibirmingham.bsky.social Prev Apple, Prev ophthalmology doctor in the NHS
@andrewlbeam.bsky.social
Chief Technology Officer FL97, Inc. - Professor @ Harvard Founding Editor NEJM AI, Co-host AI Grand Rounds 🎙️, Co-founder Generate Biomedicines, Inc
@bethstuart97.bsky.social
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)
@stateecetics.bsky.social
Statistical Science | Associate Director | Early Oncology | AstraZeneca + Volunteer for Royal Statistical Society + Founder of Celebrating Diversity SIG
@jonathan-bartlett.bsky.social
Biostatistician, London School of Hygiene & Tropical Medicine. Blogging at thestatsgeek.com
@beatrizgoulao.bsky.social
Advanced Research Fellow in implementation science & clinical trial methodology. Statistician. Making research and statistics more relevant to patients and public. https://bit.ly/3SL3Dev
@leonjessen.bsky.social
🧬 💻 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!
@judithterschure.bsky.social
Consultant biostatistician @amsterdamumc, with PhD from @CWInl. Research on ALL-IN prospective meta-analysis, anytime-valid statistics and https://en.wikipedia.org/wiki/E-values #stats #openscience
@glenmartin.bsky.social
Senior Lecturer in Health Data Science, University of Manchester. Research interests in statistical methods for clinical prediction/prognostic models
@samfin.bsky.social
Pediatrician and Clinical Geneticist at UW/Seattle Children’s. (PGY3) PhD in Machine Learning for Healthcare Past: Harvard Med, MIT, Stanford