Juliette Murris
Biostatistician, Pierre Fabre PhD candidate in Biostatistics with the HeKA team (Inserm-Inria initiative) at PariSanté Campus. Her research is supervised by Pr. Sandrine Katsahian from CIC14-18 at the Pompidou Hospital (HEGP, AP-HP) and Audrey Lavenu from IRMAR.
About this speaker
Juliette Murris is a biostatistician at Pierre Fabre, where her work focuses on applying advanced statistical and machine-learning techniques to real-world health data. Her recent projects involve using survival analysis models and ensemble learning algorithms, such as RecForest, to enhance predictions related to recurrent healthcare events, including hospital readmissions following cancer surgery. By integrating machine learning, she effectively manages complex datasets, improving predictive accuracy and addressing recurrent event challenges in medical research.
Juliette actively presents her work at international conferences, such as ISPOR Europe 2023, where she shares insights on data maturity and stability in observational studies. She also offers recommendations for managing interim data in long-term studies. Her work demonstrates the integration of advanced statistical methods with practical healthcare applications, bridging clinical needs with analytical solutions to improve health outcomes.
