Sergi Sanz

Sergi Sanz is an Associate Professor in the Department of Public Health at the Faculty of Medicine, University of Barcelona, and a key leader in biostatistics and data management at ISGlobal, where he coordinates the Biostatistics and Data Management Unit (UBIOES-GD). His work focuses on advancing data harmonization, statistical analysis, and training in global health research, particularly in low-resource settings.

Research Interests: Sergi Sanz’s research spans biostatistics, infectious diseases, global health, and data science. He has made significant contributions to studies on malaria, Chagas disease, yaws, HIV, and tuberculosis, with a strong emphasis on clinical trials, diagnostic accuracy, and epidemiological modeling. His work promotes FAIR data principles, data anonymization, and capacity building in data management for multicenter studies.

The most recent publications highlight a consistent focus on infectious disease diagnostics, maternal and child health, and global health equity. Trends include the development and validation of point-of-care molecular assays (e.g., LAMP), implementation of preventive treatments in vulnerable populations (e.g., HIV+ pregnant women), and large-scale epidemiological assessments across Africa and Latin America. His collaborations span high-impact journals such as The Lancet and NEJM, reflecting his role in shaping evidence-based global health interventions.

Scientific Awards:

• No awards explicitly mentioned in the provided text.

Advising and Grants: While specific students and grant details are not listed, Sergi Sanz plays a central role in mentoring through his coordination of data training and biostatistics support at ISGlobal. He contributes to major multicenter projects funded by international agencies, particularly those focused on tropical diseases and maternal health. His leadership in data management suggests involvement in securing and managing research grants for large-scale studies.

Labs and Teams: He leads the Biostatistics and Data Management Unit (UBIOES-GD) at ISGlobal, which supports institutional data harmonization and provides statistical expertise for global health research. This unit is integral to multicenter projects on malaria, Chagas disease, and other infectious diseases, ensuring rigorous data analysis and methodological consistency.