Hybrid Models: The Best of Both (Mechanistic & Empirical) Worlds to Accelerate and De-Risk Process Development
12th October 2020 | 10.00 am EST | Christian Airiau, PhD, Global Head Data Sciences, Biologics Development at Sanofi and Chris McCready, Lead Data Scientist at Sartorius Stedim Biotech |BOOK FREE SEAT FOR THIS WEBINAR
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.
Presented by Christian Airiau, PhD, Global Head Data Sciences, Biologics Development at Sanofi
Christian Airiau is the Head of Data Science in Sanofi, R&D in Biologics Development, based in the Boston Area. He has over 16 years of experience in the Pharmaceutical Industry, working on Data Science, Process Modeling and Process Analytical Technologies (PAT).
His remit is to drive alignment across the global Sanofi network to develop Data Science, Process optimization and process control in Biologics Development. Introducing cutting edge Advanced Analytics concepts and leveraging established methodologies to accelerate Process development and strengthen Control Strategy definition.
Christian is also the Advanced Analytics lead in the CMC Digital Transformation program in Sanofi, across small and large molecules.
Trained as Chemist, he holds a Master and PhD in Data Science / Chemometrics from The University of Bristol in the UK.
Followed by Chris McCready, Lead Data Scientist at Sartorius Stedim Biotech
Chris McCready is Principal Research Scientist with Sartorius Corporate Research with chemical engineering degrees from University of Waterloo and McMaster University. Before joining Umetrics (aquired by Sartorius) Chris worked in Oil & Gas with Petro-Canada and in power systems with United Technologies developing and implementing advanced process control strategies, providing dynamic simulation packages and systems design. Presently Chris is Research Lead in development of next generation biopharmaceutical analytics and automation based on mechanistic modeling.
Sponsored by Sartorius Stedim Data Analytics
Sartorius Stedim Data Analytics develops software under the Umetrics Suite for design of experiments and multivariate data analysis, for the individual user as well as for on-line continuous and batch processes.
The stability of Umetrics founding principles and the flexibility of our services enables us to promote every way of implementation of design of experiments and multivariate technology that our clients require. We are committed to supporting our clients in their mission to take control over their data flow, by conveying our advanced expertise in advanced data analytics technology. Our mission is to provide comprehensive solutions which create value from data, enabling better decision making and process excellence.
Our market exists in every sector of industry where there are manufacturing, testing or data analysis activities, but historically the highest number of collaborations has been in the life science, semiconductor and chemical industries.
Umetrics is since April 2017 owned by Sartorius Stedim Biotech AS.