Interface Machine Learning Process Analytical Technology and Process Science For Next Level Process Development
Interface Machine Learning Process Analytical Technology and Process Science For Next Level Process Development
• The digital evolution as a compelling destination - beyond data-centric knowledge management, opportunities and prerequisites
• Examples and applications for modeling, machine learning and PAT
• Seamless integration of PAT and model life cycle management into a digital plant environment
Webinar Overview
Over the years there have been many frames of reference on the use of process analytical technology (PAT) in the commercial manufacturing space including monitoring, closed-loop control, quality control/real-time release, advanced process control, quality by design, Industry 4.0, etc. With each evolution of framing, the context we view process sensing and analysis of manufacturing processes is trending towards expanded scope and context from unit operation to production train, plant level, and up through manufacturing network, supply chain and value chain to the customer. Similarly in the Development space, the frame of reference for the use of PAT continues to evolve as various capabilities become standard aspects of pharmaceutical and biopharmaceutical process technology stacks enabling the use of digital twins, modelling, and workflow automation which aim to drive more efficient and reliable development, technical transfer, and lifecycle management practices. In this talk, we will present how we at Biogen are integrating PAT as part of our Digital Evolution strategy on a pathway toward the realization of Smart Manufacturing and Intelligent Development.
This webinar is copyright of Biopharma Webinars. https://biopharmawebinars.com/
Details correct at time of webinar recording.
Tuesday
April 5, 2022
Speaker
Martin Gadsby, Chairman, Optimal Industrial Technologies (now part of SciY)
Martin graduated from the University of Bath in the late 1970s, and after working through a few positions in the industry, he became the European R&D Process and Process Automation Group Leader for Kraft Foods. After a few years at Kraft, Martin decided to set up a process automation business with a colleague, Dave Richards, and Optimal was born. Optimal Industrial Automation was formed over 33 years ago, and Optimal Industrial Technologies, which was formed more recently as the products division, and is the market leader in the field of Process Analytical Technology (PAT) with its PAT Knowledge Management product – synTQ. Martin is now Chairman of both Optimal companies, which are now part of the SciY group of vendor-agnostic software and automation solutions. On the personal front, Martin is a bit of a ‘petrolhead’ and enjoys flying aerobatics and racing cars.
Oliver Steinhof, PAT Scientist at Biogen
PAT Scientist at Biogen since 2017, supporting the startup of Biogen’s new Next Generation Manufacturing facility at Solothurn Switzerland. Since 2015 responsible for the PAT laboratory at Lonza in Visp, Switzerland. Delivering PAT solutions and consulting services to the global organization, including small molecule API manufacture and chemicals. Since 2009 several roles at Shell Global Solutions in Hamburg Germany around lubricants R&D. Managed the analytical services team, acted as a global technical support manager, internal consultant, internal quality auditor and as project leader for R&D projects. A chemist by training with stops at the Universities of Braunschweig Germany, Salt Lake City Utah and Tuscaloosa Alabama. PhD in industrial chemistry sponsored by BASF SE with a focus on on-line NMR spectroscopy and reaction engineering of complex polycondensations.