Application of Multivariate Data Analysis for Process Diagnostic and Root Cause Analysis


07th March 2018 | 10AM EST | Ramila Peiris, Ph.D., Manager, Process Modelling and Process Analytical Technology, 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 Ramila Peiris, Ph.D., Manager, Process Modelling and Process Analytical Technology, Sanofi Pasteur

Dr. Ramila Peiris received his PhD in Chemical Engineering from the University of Waterloo. His expertise includes mathematical modeling, process analytical technology and the control and optimization of biopharmaceutical manufacturing processes. He has authored several refereed journal publications and is the recipient of numerous awards for innovation and industrial performance. Ramila currently works as the Manager of Process Modeling and Process Analytical Technology at Sanofi Pasteur, Toronto, Canada