The traditional approach to develop multivariate models based on spectroscopy involves manual data management such as selection and transfer of ..
spectroscopic data, import into modeling software and selection/exclusion of data. That is followed by addition of reference data, alignment of time stamps and import into the modeling software. 90% of the time required to construct a multivariate model is spent on data preparation. It was decided to develop a solution to automate these steps to prepare (stage) the data required for model development, reducing the time required to prepare a typical set of batch data to about five minutes. PAT Scientist at Biogen since 2017, supporting the startup of Biogen’s the new Next Generation Manufacturing facility at Solothurn Switzerland. Since 2009 several roles at Shell Global Solutions in Hamburg Germany around lubricants R&D. Nicolas is an Upstream Manufacturing Scientist at Biogen since 2020, and has been supporting process optimizations, investigations, and data analytics projects.