Paula Petrone

Paula Petrone is a research scientist leading the Biomedical Data Science group at ISGlobal as part of the Severo Ochoa program in Barcelona, Spain. She holds a PhD in Biophysics from Stanford University and brings over a decade of experience from the pharmaceutical and biotechnology industries, where she applied data science to drug discovery. Her current work bridges academic, clinical, and industrial research to develop data-driven solutions for global health challenges.

Her research interests focus on biomedical data science and health informatics, particularly using in silico methods and machine learning to integrate clinical, molecular, and behavioral data. She is passionate about interventional science — research that delivers short-term, tangible improvements in healthcare — and advocates for gender-inclusive data practices to reduce bias in medical research.

The available information does not list any scientific publications, but her research spans diverse domains including malaria vaccine effectiveness, human aging, Chagas disease risk prediction, mental health diagnostics using digital devices, exposome impacts on child development, and travel-related infection risk modeling. These projects reflect a strong trend toward using advanced analytics for predictive and preventive healthcare.

• Scientific Awards: No awards mentioned in the provided text.

Paula Petrone actively collaborates across disciplines and institutions, working with researchers from ISGlobal, Idibell, and Hospital Clínic de Barcelona. She mentors inclusivity in science and co-organized the Women in Data Science / Barcelona conference to promote female participation in data science. Her team functions as a collaborative hub, integrating data science into diverse biomedical projects. She aims to strengthen partnerships with hospitals and startups to accelerate the translation of research into clinical practice.