How to Utilize Design of Experiments (DoE) Principles for the Development of High Throughput, Robust Methods for the Assessment of Product Quality


19th September 2019 | 10.00 am EST | Jeremy Springall PhD, Scientist II, Analytical Sciences, R&D Biopharmaceutical Development, AstraZeneca |WATCH FOR FREE

Being able to generate accurate and precise analytical data to provide information on product quality in a timely manner is a great challenge facing analytical groups. By adopting a Design of Experiments (DoE) approach, we can overcome many hurdles facing the implementation and adoption of these high-throughput chromatography methods with the data generated being of comparable quality to that from longer lot release methods.

Presented by Jeremy Springall PhD, Scientist II, Analytical Sciences, R&D Biopharmaceutical Development, AstraZeneca

Jeremy Springall has worked in the Analytical Sciences group, part of R&D Biopharmaceutical Development, at AstraZeneca for the past five years. His responsibilities include assess new technologies and work processes to support early and late stage development assets as well as being a CMC analytical team lead on several non-mAb projects currently in the AstraZeneca development pipeline. Previous roles include In-process analytical development scientist at UCB and analytical development scientist at Patheon, both in the UK. He holds a Ph.D. in bioorganic and medicinal chemistry and a BSc in chemistry from the University of Bath, UK.


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