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A Data Driven Approach to Vaccine Scale-up and Tech Transfer

Data analytics are powerful tools which can be used to maximize process data from development to manufacturing. In this webinar we will cover how to use data analytics to simplify process scale up and facilitate technology transfer.

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Key Learning Objectives
  1. Scale up processes can be optimized using data analysis

  2. Risks associated with tech transfer can be mitigated using data analysis

  3. Once you reach commercial production real-time analytics decreases risk of failure and ensures product quality and manufacturing success

Meet Our Experts

Tiffany McLeod

Market Manager (Bio)pharma

Tiffany McLeod is the Biopharma Market Manager within the Sartorius Stedim Data Analytics marketing team. She has been employed by Sartorius since 2017. Within this function Tiffany acts as the teams’ subject matter expert for biopharma market trends and requirements. She also works to addresses and develop data analytics solutions to solve industry challenges and pain points. She is passionate about biopharma 4.0 and helping businesses pursue digital transformations. Tiffany holds a degree in Bioengineering and Bioinformatics from the University of California, San Diego.

Lennart Erikson

Senior Lecturer and Principal Data Scientist

Lennart Eriksson is a senior lecturer and data scientist and has worked with advanced data analytics for over three decades. Currently, he holds a position within the marketing team of Sartorius Stedim Data Analytics. His responsibilities relate to trainings, webinars, blogs and other marketing communications. Lennart has a PhD in Chemometrics and holds an associate professorship in Chemometrics at Umeå University. He has authored and co-authored over 100 publications on the applicability of design of experiments and multivariate data analysis in research, development and production. Lennart is a member of the editorial board of Journal of Chemometrics.

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