Application of Multivariate Data Analysis for Process Diagnostic and Root Cause Analysis
10th April 2019 | 10AM EST | Hossein Sahraei, Data Scientist, Sanofi Pasteur |ATTEND FREE WEBINAR
The utilization of Multivariate Data Analysis (MVDA) techniques at Sanofi Pasteur, Toronto site has demonstrated innovative capabilities for improved process understanding, control and diagnostics. Examples from several successful and high impact applications will be presented. These examples cover the application of MVDA techniques in multivariate process control, root cause investigations and process analytical technology (PAT). The areas of application include fermentation, downstream purification and product formulation stages.
Presented by Hossein Sahraei, Data Scientist, Sanofi Pasteur
Hossein Sahraei is a Data Scientist at Sanofi Pasteur’s Modeling and Process Control Strategy Group in Toronto, Canada. He joined Sanofi Pasteur in 2017, providing data analytics support for manufacturing of component Pertussis vaccine and application of Process Analytical Technologies (PAT). He recieved his PhD degree from the University of Waterloo in 2017 with a collaboration with Natural Resources Canada. His contribution led to ten peer reviewed journal publications and a book chapter on the application of reduced order models and model-based controllers.