I am a PhD candidate working on causal inference methods at the Real World Evidence Team, Department of Data Science & Biostatistics, UMC Utrecht.
My PhD focuses on causal inference with observational data. Specifically, I work on target trial emulation, its methodology and applications.
My aim is to understand how we can use large-scale electronic health records to study the safety and effectiveness of health interventions, especially for questions where randomized clinical trials are unlikely to be performed.
About
I graduated from the Methodology and Statistics Research Master’s at Utrecht University. During my studies, I helped developing the densityratio R package, I was part of the ODISSEI Social Data Science Team, and I was a teaching assistant for different courses. My Master’s thesis focused on the development of a Bayesian implementation of the synthetic control method.
Before, I worked for three years as a researcher in survey methodology at RECSM-UPF. There, we used latent variable models to estimate measurement error and assess measurement comparability of data from the European Social Survey.
Originally from Galicia, I am now based in Utrecht.