Canadian epidemiologist and causal inference person at Erasmus Medical Center. Big fan of Northern Expsoure and Car Talk.
jeremylabrecque.org
Assistant Professor of "Data Science in Economics" at Uni Tübingen. Interested in the intersection of causal inference and so-called machine learning.
Teaching material: https://github.com/MCKnaus/causalML-teaching
Homepage: mcknaus.github.io
PhD candidate in biostatistics at Erasmus MC working on joint modeling of time-to-event and longitudinal data.
https://www.pafonso.com/
Associate Professor and Director of the Biostatistics Laboratory in the Department of Public Health Sciences at the University of Chicago
Interested in data
Currently pharmacometrics and causal inference
Legacy: drug design, risk management, protein structures, protein folding, ...
https://scholar.google.com/citations?user=R3QYvdUAAAAJ
PhD student. Epidemiology, Causal Inference, Physical activity, and COPD
Data Scientist PhD 🔎 #liverdisease #obesity #preventivehealth
Causality-passionate, walking the two worlds R & Python, biostats & ML
Health, dignity, and justice for every human. This is the official account for #HarvardChan: hsph.harvard.edu
The official account of the Harvard T.H. Chan School of Public Health Department of Epidemiology | Our YouTube: http://goo.gl/3JZ4wR
Actionable #causalinference with real-world impact.
We use health data to help decision makers make better decisions.
We train investigators at Harvard T.H. Chan School of Public Health.
Connect with CAUSALab: https://linktr.ee/causalab
precision psychiatry & psychiatric genetics
postdoc @ massgen | harvard med | broad institute
research fellow @clscohorts.bsky.social
epidemiology | causal inference | methods
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
HDR-UK clinical research fellow and public health doctor -
Cardiovascular Epidemiology Unit at Cambridge Uni, UK @uniofcam.bsky.social @vpd-hlri.bsky.social @cambridgebiocampus.bsky.social
Heisenberg Professor for Biostatistics at the Department of Statistics, LMU München | causal inference - missing data - HIV
michaelschomaker.github.io
Postdoctoral Research Associate, Statistical Laboratory, University of Cambridge
PhD student in Epidemiology @uscarnoldschool.bsky.social 🇺🇸. I am interested in applying causal inference methods in the fields of nutritional and cancer epidemiology. M.D 🇿🇲, MPH 🇳🇴
Assistant professor in Biostatistics. School of Public Health, University of Montreal. Causal inference - Casual chess. 🇫🇷🇪🇺 living in lovely 🇨🇦
