New course “EMBO Causality in Biomedicine”: We have organised the first EMBO course in *causal* stats/ML methods for quantitative biomedicine. @sjoerdvbeentjes.bsky.social @nimahejazi.org @pablormier.bsky.social @DariaSokolova @CarolineUhler
Very much looking forward to teaching and discussing!
12.08.2025 14:03 — 👍 10 🔁 7 💬 0 📌 0
At Edinburgh, my PhD students have both joined projects I started, as well as set up their own projects on the All of Us researcher workbench. I just checked AoU’s institutional agreements page, and Cambridge and Edinburgh have the same access level on AoU (R+C), so this should be fine!
03.07.2025 12:00 — 👍 2 🔁 0 💬 1 📌 0
Online today! Replicated blood-based #biomarkers for #MyalgicEncephalomyelitis not explicable by inactivity
By S.V. Beentjes, @avakhamseh.bsky.social, @cgatist.bsky.social & colleagues @edinburgh-uni.bsky.social
🗞️ doi.org/10.1038/s443...
20.06.2025 11:10 — 👍 32 🔁 15 💬 1 📌 0
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
Delivering world-class bioinformatics training in data-driven life sciences virtually, and onsite at EMBL's European Bioinformatics Institute in Hinxton, UK.
www.ebi.ac.uk/training
Developmental & stem cell biologist, University of Edinburgh
Digs repetition
Also digs local coordination between cells in development and disease
#SustainableConferencing #Music #Science #MoreScience
Mastodon @CellySally@biologists.social
🌊🌊🌊
PhD Student - University of Edinburgh
Maths, stats and morphological profiling
I build pipelines to analyse the morphology and spatial distributions of single cells in WSI’s to study how this is affected by different oncogenic mutations
Professor of Biomedical Informatics @InfAtEd, Dir. @AI4BI_CDT - Bioinformatics, Machine Learning, BioNLP, Genomics, Genetic Disease
The American Statistical Association, the world’s largest community of statisticians and second oldest, continuously operating professional society in the US.
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
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
statistics & causal inference
Assistant Professor of Biostatistics UC Berkeley
semiparametric statistics, machine learning, causal inference, stats/ML pedagogy, social justice
Modern Causal Inference Book: alejandroschuler.github.io/mci/
Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation.
https://idiazst.github.io/website/
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 at harvard med school • causal inference, machine learning, nonparametrics
alexluedtke.com
Scientist at University of Edinburgh. Director of MRC Human Genetics Unit but posting in my own capacity.
Lecturer (assistant professor) University of Aberdeen. Immunology, computational biology, genetics and single cells. Runner, climber and connoisseur of Yorkshire tea. Views expressed are my own. https://www.morganlab.co.uk/
assoc prof of statistics & data science at Carnegie Mellon
https://www.ehkennedy.com/
interested in causality, machine learning, nonparametrics, public policy, etc
Ph.D. Student @uwstat; Research fellowship @Netflix; visiting researcher @UCJointCPH; M.A. @UCBStatistics - machine learning; calibration; semiparametrics; causal inference.
https://larsvanderlaan.github.io
human being | assoc prof in #ML #AI #Edinburgh | PI of #APRIL | #reliable #probabilistic #models #tractable #generative #neuro #symbolic | heretical empiricist | he/him
👉 https://april-tools.github.io
