Affiliations

 
 
 
 
 

Associate Member

Department of Statistics

University of Oxford

May 2025 – Present Oxford, United Kingdom
 
 
 
 
 

Codirector

Pioneer Centre for SMARTbiomed

July 2024 – Present Copenhagen, Denmark

Current Members

Biostatistician working on the development and evaluation of risk prediction models and biomarkers, assay development and validation, statistical computing, causal inference in observational studies, and tools for reproducible research.

Assistant Professor working on causal and statistical inference with an emphasis on infinite-dimensional parameters and their applications to understanding common complex diseases.

Postdoc interested in using perturb-seq data to learn causal graphical models that facilitate reasoning about regulatory pathways underlying common complex diseases.

Postdoc working on data integration methods for inference on causally interpretable estimands with a special focus on clinical trial data.

PhD student interested in causal inference in time-to-event analysis and settings with lack of identifiability.

Marie Skov Breum

Postdoctoral researcher working on causal inference methods. My current research focuses on mediation analysis and methods for longitudinal data including time-to-event analysis.

Emilie Wessel Pedersen

PhD student developing methods for causal inference on (key features of) heterogeneous effects using efficient targeted nonparametric estimation.

Christoffer Sejling

PhD student working with the development of statistical methods for quantifying clinically relevant traits of continuous glucose monitor measurements from Type I Diabetes patients.

Johannes Martin Hruza

PhD student working with statistical methods for the development and evaluation of individualized treatment rules.

Alumni

PhD Student studying computational methods for causal inference.

PhD Student working on clinical trial designs and methods. Graduated Spring 2023. Currently working as EMMES Corporation.

Postdoctoral Researcher studying causal inference theory and methods. Finished in 2022. Currently employed at the National Institute of Pathology Victor Babes, Romania.

PhD Student studying machine learning methods for survival outcomes. Graduated August 2022.

Publications

Link to Google Scholar

Teaching

My teaching emphasizes causal reasoning: understanding the scientific question a method is designed to answer, the assumptions on which it depends, and the conclusions the evidence supports. I teach biostatistics and causal inference at the master's and doctoral levels, and I have developed courses and curricula across undergraduate, graduate, and doctoral education.

Get in touch

erin.gabriel-at-sund-dot-ku-dot-dk

Section of Biostatistics, Øster Farimagsgade 5, 1353 København, Denmark