We develop, apply and promote innovative statistical and data science approaches to advance biomedical science and human health. www.mrc-bsu.cam.ac.uk

Medical statistician, work with genetic data to disentangle causation from correlation. Author of book on Mendelian randomization.

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 Genetic Epidemiology, University of Bristol at: uob-ieu@bsky.social

Biostatistician working on methodology at Novartis. Simulation studies, non-inferiority, missing data, estimands, covariate adjustment… He/him https://tpmorris.substack.com/

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

The Night Science Podcast explores the creative scientific process, with your hosts Itai Yanai (@itaiyanai.bsky.social) and Martin Lercher. https://nightscience.buzzsprout.com/ http://youtube.com/@NightSciencePodcast

Epidemiologist and science communicator | newsletter: epiellie.substack.com | cohost @casualinfer podcast | Causal inference for public health #epitwitter | Canadian in US 🇨🇦 | she/her/Dr

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

official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app

Professor at the NYU School of Medicine (https://yanailab.org/). Co-founder and Director of the Night Science Institute (https://night-science.org/). Co-host of the 'Night Science Podcast' https://podcasts.apple.com/us/podcast/night-science/id1563415749