Marta Avalos Fernandez
About Marta Avalos Fernandez
Marta Avalos Fernandez is a Maître de conférences at Université de Bordeaux and a member of the SISTM team at Inria. She has extensive experience in public health and biostatistics, holding various academic and research positions since 2005.
Work at Inria
Marta Avalos Fernandez has been a member of the SISTM team at Inria since 2015. Inria, the French National Institute for Research in Computer Science and Automation, focuses on computer science and applied mathematics. Within the SISTM team, she contributes to research initiatives that intersect statistical machine learning and public health. Her role at Inria complements her academic and research endeavors in the broader context of health data analysis.
Education and Expertise
Marta Avalos Fernandez holds a Doctorate in Information Technology and Systems from Université de Technologie de Compiègne, where she studied statistical machine learning from 2001 to 2004. She also completed her Habilitation à diriger des recherches (HDR) in public health with a focus on biostatistics at Université de Bordeaux from 2017 to 2018. Additionally, she earned a DEA (Master 2 Recherche) in Public Health with a specialization in Biostatistics from Université Paris-Sud in 2001.
Current Academic Roles
Marta Avalos Fernandez serves as a Maître de conférences (Associate Professor) at Université de Bordeaux since 2005. In this role, she engages in teaching and research activities, contributing to the academic development of students in public health. Additionally, she has been the Responsable de la 1ère année du Master Santé Publique - modalité en e-learning at Institut de santé publique, d'épidémiologie et de développement (ISPED) since 2011, overseeing the first year of the public health master's program delivered through e-learning.
Research Affiliations
Marta Avalos Fernandez has been affiliated with Inserm as a member of the Bordeaux Population Health research center (Inserm U1219) since 2005. Her involvement in this research center allows her to collaborate on various public health projects, focusing on population health dynamics and biostatistical methodologies. This affiliation supports her research interests and enhances her contributions to the field of public health.