@hdsai.sund.ku.dk
Our new section brings together cutting edge research, methodology and teaching to bring about new advances in health data science! Lead group leaders include Section head prof Søren Brunak, prof Samir Bhatt and prof Anders Krogh.
@aicentre.dk
Research collaboration among 5 universities in Denmark: Aalborg University, IT University of Copenhagen, University of Aarhus, Technical University of Denmark, and the University of Copenhagen. https://www.aicentre.dk/
@smartbiomed.bsky.social
The Pioneer Centre for Statistical and computational Methods for Advanced Research to Transform Biomedicine (SMARTbiomed). International research center spanning three institutions: Aarhus University, University of Copenhagen and University of Oxford.
@kcuses.bsky.social
🌈 | PhD fellow at University of Copenhagen | I work at the intersection of deep learning and health | Recent works are deep learning with satellite imagery and remote sensing, pathology and radiology
@mathildembsloth.bsky.social
PhD student in public health and epidemiology @ University of Copenhagen
@causalab.bsky.social
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
@sjbhatt.bsky.social
Professor at Imperial College London and University of Copenhagen. Academic council of Schmidt Science Fellows. Loves maths, biology and health!
@neclow.bsky.social
PhD student @ucph.bsky.social, previously: @logitech.bsky.social @neuroxepfl.bsky.social
@jakg.bsky.social
Spends time thinking about quantum computing and molecules. PhD-candidate. Also interested in fields of practical relevance, like climate science.
@eurocim.bsky.social
The European Causal Inference Meeting - causal inference in health, economic and social science.