"Challenges and Solutions for Statistical Software Engineering” Together with: Anders Ellern Bilgrau, Coline Zeballos, Lyn Taylor, and Kevin Kunzmann
A Talk by Daniel Sabanés Bové PhD , Anders Ellern Bilgrau PhD , Coline Zeballos , Lyn Taylor and Kevin Kunzmann
About this Talk
The use of statistical methods and analyses is increasingly common in open-source programming languages, and the pharmaceutical industry is no exception. This transition offers several benefits, including easier talent recruitment, enhanced collaboration through code sharing across organizations, and the ability to adopt new methods more rapidly after their publication. However, this shift also presents challenges, such as ensuring that all tools used for regulatory purposes are functioning correctly and are validated. Moreover, organizations must determine how to align their infrastructure, processes, and workforce with this new paradigm. It is also essential to integrate new statistical engineering tasks within data science departments and to ensure that the resulting software meets its intended purpose.
In this session, we will showcase stories that illustrate experiences and solutions to address these challenges.
About The Speakers
Principal Statistician, Novo Nordisk
He holds both a PhD and a master’s degree in Biostatistics through a joint fellowship at the Institute of Mathematical Sciences, Aalborg University, and the Department of Haematology, Aalborg University Hospital.
R Strategy Lead, Roche
Her collaborative approach blends data analytics with business objectives, simplifying complex technical challenges while guiding interdisciplinary teams. Key areas of expertise include leadership, software validation, project management, and public speaking.
