Aida Perramon Malavez

Physics engineer with a touch of (pharmaco)epidemiology. PhD in Applied and Computational Physics (BIOCOM-SC, UPC). Postdoc at Erasmus MC on real-world evidence. I have yet to be convinced that a screen can catch a thought the way a page does.

GREG - Testing, improving, and co-creating Guidance and Tools for Real World Evidence Generation and Use for Decision-Making in Europe (currently)

The GREG project creates, tests, and shares practical, evidence-based guidance and tools to help generate and use Real-World Evidence (RWE). By improving how RWE informs the development and evaluation of medicines, medical devices, and drug-device combinations, GREG supports better decision-making for regulators and Health Technology Assessment (HTA) bodies.

Skills: OHDSI, OMOP CDM, pharmacoepidemiology, survival analysis, biostatistics, study design, study protocol, DARWIN EU tools, R programming, ETL

Epidemiological modelling of SARS-CoV2 in a post-pandemic surveillance context: an open platform for mid-term scenarios and short-term predictions. (2022-2025) Skills: epidemiology, biostatistics, study design, study protocol, Python programming, R programming, ETL, pre-processing data, infectious diseases, forecasting

SARS-CoV-2 and other respiratory viruses in childhood: different approaches to define predictive models for their diagnosis and epidemiological evolution. (2021-2025) Skills: epidemiology, biostatistics, study design, study protocol, Python programming, R programming, ETL, pre-processing data, infectious diseases, forecasting