Hybrid Models: The Best of Both (Mechanistic & Empirical) Worlds to Accelerate..
Christian Airiau,Global Head Data Sciences at Sanofi and Chris McCready, Lead Data Scientist at Sartorius
About this talk
Full Title: Hybrid Models: The Best of Both (Mechanistic & Empirical) Worlds to Accelerate and De-Risk Process Development
Presented by Christian Airiau, PhD, Global Head Data Sciences, Biologics Development at Sanofi and Chris McCready, Lead Data Scientist at Sartorius Stedim Biotech
Process optimization through the use of modeling is a key objective to accelerate and de-risk process development. A critical step to improve our process development, process monitoring and process control is to understand the strength and limitations of each types of modeling approaches. Using the most relevant empirical approaches - from DoE to Multivariate Analysis - and the mechanistic understanding we have about our processes – Kinetics, thermodynamics – we are rethinking the way we conduct process development.
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