Since 2013, CYBERnano has been working in collaboration with Sanofi Pasteur on different data science topics for the:

·      high-throughput virus titration;
·      data-driven modeling for upstream  processes;
·      Quality-by-Design (QbD) for new processes;
·      identification of nonlinear dynamic models in virology.

​

In those R&D studies, our activity is to develop and test new data-driven modeling approaches for the prediction and optimization of critical biological properties. The developed computational algorithms are finally embedded in tailor-made software.

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

​

Reference:

[1] L. Batista, Identification de systèmes dynamiques linéaires à effets mixtes – Applications aux dynamiques de populations cellulaires. PhD thesis, Université de Lorraine, Décembre 2017.