🥳 Registration for abstracts for EuroCIM 2026 (Oxford) is now OPEN and the deadline for submissions is 9 January 2026: eurocim.org/oxford-2026/...
👉 Theme? “Causal inference in health, economic and social science”
👉 When? April 14-17
👉 Where? Oxford
👉 Register? eurocim.org/oxford-2026/...
11.11.2025 10:55 — 👍 11 🔁 6 💬 0 📌 0
No need to shout - even if you’re alone ;)
16.01.2025 23:15 — 👍 1 🔁 0 💬 0 📌 0
Job opportunity closing today!
05.12.2024 14:02 — 👍 0 🔁 3 💬 0 📌 0
That’s a nice thought!
23.11.2024 14:15 — 👍 1 🔁 0 💬 1 📌 0
I sympathise- I don’t think I’ve seen my name in any (relevant to my field) starter pack 🥺
23.11.2024 13:48 — 👍 7 🔁 0 💬 1 📌 1
The European Causal Inference Meeting 2025 is coming to Ghent! ✨ Share your work with experts across the globe – abstract submission for oral & poster presentations is now open! eurocim.org/abstracts.html
22.11.2024 15:45 — 👍 15 🔁 10 💬 1 📌 0
I’m hiring- info in the link below, or get in touch if interested
📣 JOB OPPORTUNITY!
💻 Research Fellow in causal inference and machine learning, Statistical Science Department, UCL
🔗 www.ucl.ac.uk/work-at-ucl/...
📅 Deadline 5th December
#causality #stats
21.11.2024 12:07 — 👍 20 🔁 16 💬 0 📌 3
EuroCIM, it’ll be in Ghent in 2025, easily readviable by train from London. Lovely crowd too
14.11.2024 23:34 — 👍 1 🔁 0 💬 0 📌 0
Associate Professor in Medical Statistics & Clinical Trials @ Imperial Clinical Trials Unit
Senior Lecturer in Medical Statistics and Clinical Trials, Imperial College London.
All about medical statistics and clinical trials.
Imperial College London
Asst Prof of Biostats @ University of Pennsylvania
Center for Causal Inference
www.awlevis.com
interests: causal inference, distribution shift, machine learning, non/semiparametrics, w/ applications in EHR data & beyond
Postdoc @ NYU Grossman; stats / ML + causal inference
https://alecmcclean.github.io/
A network of academic clinical trials units who have been assessed by an international panel of experts. Reposting does not mean endorsement.
asst. prof. in (bio)statistics at harvard—causal inference, semi-parametric estimation, machine learning, open-source software for statistical science. research webpage: https://nimahejazi.org
avid runner, concertgoer, timezone hopper
Prof of Primary Care Health Sciences, Oxford. Researching digital health/ inequities, covid prevention (masks/ air quality). Wild swimmer. Mum to Rob (marine bio) & Al (doc). She/her. https://scholar.google.com.au/citations?user=QDCqsJwAAAAJ&hl=en&oi=ao
Assistant Professor of Biostatistics at Columbia.
I study causal inference, graphical models, machine learning, algorithmic (un)fairness, social + environmental determinants of health, etc. Opinions my own.
http://www.dmalinsky.com
Professor, UMN Biostatistics & Health Data Science. Co-founder, Daynamica (www.daynamica.com). Canadian still pronouncing Z the right way, usually.
Professor of Medical Statistics @qmul.ac.uk. I study how to design evaluations of health technologies and health service interventions. Sometimes I just make patterns.
Columbia postdoc and ex-Quantco. Personal website: www.ohines.com
Assistant professor of CS at UC Berkeley, core faculty in Computational Precision Health. Developing ML methods to study health and inequality. "On the whole, though, I take the side of amazement."
https://people.eecs.berkeley.edu/~emmapierson/
The European Causal Inference Meeting - causal inference in health, economic and social science.
I love Netflix for their data science blog and The BBC for their ggplot2 resources.
Proud Ballymena Professor. Senior Strategic Advisor at RoRI; Emeritus Prof at Imperial. Former DORA Chair. Husband, father, carer. Also cares about science & equity. Personal a/c. Writes occasionally at http://occamstypewriter.org/scurry/.
Lead Data Scientist, NHS Grampian + Senior Research Fellow, University of Aberdeen
Trying to do useful things with big, messy, high-security data. Huge nerd for open science and public health
https://www.abdn.ac.uk/iahs/people/profiles/jessicabutler
philosopher of medicine and social sciences, clinical ethicist, pedagogy enthusiast, plant lady
'pretty decent at puns'
Looking for philosophy, medicine, public health, economics, methods, meta-research, history, and bioethics people!
She/Her
