Future of Bioprocessing: Bioprocessing 4.0 and Cloud Computing

Life Sciences, Pharma, Pharma Manufacturing & Supply Chain,
  • Tuesday, June 25, 2024

In this webinar, the speakers will explore the integration of cloud computing with bioprocessing equipment, heralding Bioprocessing 4.0’s transformative impact on efficiency and innovation in process development.

Cloud-based technology allows seamless data management, real-time analytics and collaborative platforms, which has revolutionized how bioprocessing facilities operate. By leveraging cloud-based solutions, Bioprocess Engineers and Scientists can optimize equipment performance, accelerate decision-making and foster collaboration.

During this webinar, the speakers will compare cloud and on-premises computing and highlight key differentiators between them, including security and cost. Additionally, they will present two case studies for the benefits of cloud-based technologies in bioprocessing.

Cloud-enabled bioprocessing equipment promises to redefine manufacturing standards, driving advancements in therapeutics development and production.

Register for this webinar today to gain insights into the integration of cloud computing with bioprocessing equipment, showcasing its pivotal role in revolutionizing efficiency and innovation in the biotech industry.

Speakers

Babu Sivaraman, Culture Biosciences

Babu Sivaraman, PhD, PE, Vice President, Product and R&D, Culture Biosciences

Babu Sivaraman is a licensed Professional Engineer in the State of California. He has more than 16 years of experience in the development and commercialization of bioprocessing tools and solutions. Dr. Sivaraman’s team at Culture Biosciences has successfully developed and implemented bench-scale reactors that are monitored and controlled via cloud-hosted process automation and data analysis solutions.

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Prior to Culture Biosciences, he was at Thermo Fisher Scientific where he managed the bioprocess equipment and automation portfolio as the Product Leader. Prior to that, Dr. Sivaraman designed and delivered process control and building automation solutions for biopharmaceuticals, chemicals and metal processing at Fluor Enterprises Inc.

His current areas of interest include developing efficient, scalable infrastructures using modern technologies for bioprocessing and enabling accelerated process development through data-driven solutions.

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Message Presenter
Matthieu Couturier, Culture Biosciences

Matthieu Couturier, Director, Software Product, Culture Biosciences

With over 10 years of industry experience in product, data science, analytics and strategy, Matthieu Couturier leads a team responsible for user research, design and product requirements for all of Culture Biosciences’ software products.

Prior to joining Culture Biosciences, he worked at Airbnb, Uber and Boston Consulting Group. His current areas of interest include quickly building customer-centric cloud applications and applying his deep technical data science knowledge for relevant application development.

Message Presenter

Who Should Attend?

This webinar will appeal to:

  • Bioprocessing Engineers and Scientists
  • Leaders/Managers of Scientists and Engineers looking to increase their understanding of new developments in bioprocessing
  • Procurement professionals who are looking to understand differences in cloud computing offerings

What You Will Learn

Attendees will learn about:

  • The basics of cloud computing and bioprocessing
  • Use cases for cloud computing in bioprocessing

Xtalks Partner

Culture Biosciences

At Culture Biosciences, we partner with Biopharma/Biotech clients who develop protein and gene therapies accelerating cell culture process development (PD). Culture utilizes innovative cloud-connected bioreactors and data science capabilities driving the digital transformation of biomanufacturing. Culture’s real-time data analysis and data-driven modeling capabilities, enable clients to accelerate their biomanufacturing screening and optimization work. Culture has worked with over 70 clients collaborating with PD labs on design of experiments (DoE), debottlenecking PD and de-risking outcomes.

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