GRBIO Biostatistics and Bioinformatics
Principal investigator: Guadalupe Gómez Melis
Website 
GRBIO focuses on developing advanced statistical and bioinformatics methodologies for complex biomedical data, with applications primarily in healthcare. Key areas include clinical trial design and analysis, survival analysis, machine learning, and omics data. The group also works on generating and validating synthetic data to address cases where real data are scarce or sensitive. By fostering interdisciplinary collaboration with medical and biological experts, GRBIO aims to provide innovative solutions to real-world health challenges and contribute to the training of future biostatistics specialists.
Featured Projects
DIVINE
Funded by AGAUR under the PANDÈMIES-2020 call (2020PANDE00148), this project aims to dynamically assess the clinical status of COVID-19 patients and identify prognostic factors to improve in-hospital patient management.
SAFARI
Funded by the Spanish Ministry of Science and Innovation and co-financed by the European Regional Development Fund (FEDER), SAFARI focuses on advancing applied statistics in health sciences, with special emphasis on survival analysis, clinical trials, and statistical model development.
GRBIO Divulga
An outreach initiative designed to bring statistics closer to the general public in an accessible, engaging, and informal way. Through infographics, talks, YouTube videos, and training sessions, it highlights the value and application of statistics in everyday life and various scientific fields.
DIVINE
Funded by AGAUR under the PANDÈMIES-2020 call (2020PANDE00148), this project aims to dynamically assess the clinical status of COVID-19 patients and identify prognostic factors to improve in-hospital patient management.
SAFARI
Funded by the Spanish Ministry of Science and Innovation and co-financed by the European Regional Development Fund (FEDER), SAFARI focuses on advancing applied statistics in health sciences, with special emphasis on survival analysis, clinical trials, and statistical model development.
GRBIO Divulga
An outreach initiative designed to bring statistics closer to the general public in an accessible, engaging, and informal way. Through infographics, talks, YouTube videos, and training sessions, it highlights the value and application of statistics in everyday life and various scientific fields.
