Sjoerd Beentjes
Chancellor’s Fellow (Asst. Prof.) in Mathematics at #UoEdinburgh | Causal Inference | Semi-parametric statistics | Biomedicine
@training.ebi.embl.org
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
@cellysally.bsky.social
Developmental & stem cell biologist, University of Edinburgh Digs repetition Also digs local coordination between cells in development and disease #SustainableConferencing #Music #Science #MoreScience Mastodon @[email protected]
@hwarden.bsky.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
@davi1893.bsky.social
@tisimpson.bsky.social
Professor of Biomedical Informatics @InfAtEd, Dir. @AI4BI_CDT - Bioinformatics, Machine Learning, BioNLP, Genomics, Genetic Disease
@amstatnews.bsky.social
The American Statistical Association, the world’s largest community of statisticians and second oldest, continuously operating professional society in the US.
@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
@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
@aschuler.bsky.social
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/
@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/
@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
@alexluedtke.bsky.social
associate professor of statistics @uw • causal inference, machine learning, nonparametrics alexluedtke.com
@wbickmor.bsky.social
Scientist at University of Edinburgh. Director of MRC Human Genetics Unit but posting in my own capacity.
@mdmorgan.bsky.social
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/
@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
@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
@nolovedeeplearning.bsky.social
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
@cgatist.bsky.social
Disease genomics & molecular mechanisms; ME/cfs: http://decodeme.org.uk, SequenceME @ Edinburgh University. Views - my own. He/him.
@avakhamseh.bsky.social
Group Leader and Lecturer (Asst. Prof.) in Biomedical AI at University of Edinburgh |Quantitative Biomedicine #causalinference #ML #AI - views are my own
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: [email protected]