AI and high-throughput experimentation are reshaping how bioprocesses are developed, optimized and scaled. In this webinar, the featured speakers will explore how leveraging machine learning and cloud-based platforms accelerates biologics development with greater precision, speed and predictability.
The experts will highlight a recent collaboration in which an AI/ML pipeline was used to identify top-performing clones for intensified fed-batch processes, resulting in higher titers, faster optimization and greater value for customers. The speakers will explore lessons learned and the critical factors for successful AI adoption in bioprocessing, offering takeaways that can be applied to current workflows.
Join the featured speakers to:
- Explore how AI is redefining collaboration across teams in bioprocess development
- Understand the mindset shifts and infrastructure needed for digital transformation
- Learn from firsthand experience integrating AI platforms into legacy systems
Register for this webinar to explore how AI in bioprocessing is accelerating biologics development with greater precision and speed.
Speakers
Ramesh Veermalla, Senior Director, Product – Data Science, Culture Biosciences
Ramesh Veeramalla is Senior Director, Product – Data Science with Culture Biosciences. He has over 25 years of experience in the development and commercialization of software and data science products across digital health, medical imaging, high-throughput strain engineering and biomanufacturing. At Culture Biosciences, he is focused on building data science products for optimizing bioprocessing workflows.
Message Presenter
Brandon Downey, Head of Strategic Innovation Accelerator, Lonza
Brandon Downey is the Head of the Strategic Innovation Accelerator at Lonza, where he leads cross-functional efforts to identify, evaluate and accelerate high-impact R&D initiatives across bioprocess development and manufacturing. He has deep experience in upstream cell culture process applications and led the R&D development of Lonza’s intensified upstream process platform. Brandon’s team also focuses on developing machine learning tools — particularly those focused on improving clone selection — as part of broader efforts to integrate computational methods into biologics development. He brings a strong track record of building collaborative, agile R&D teams that deliver scalable innovation at the interface of computation and biomanufacturing.
Message PresenterWho Should Attend?
This webinar will appeal to those in the following fields or having the following job titles:
- Small-mid-large biotech/pharma
- Emerging biotechs
- Bioprocess Engineers
- Head of Process Development/Innovation
- Upstream Process Development Scientists
- Formulation Scientists
- Product Development
- Consultants/R&D/Scientists/Formulators
What You Will Learn
Attendees will:
- Learn how AI/ML models successfully predict bioprocess performance in intensified fed-batch manufacturing systems
- Discover steps to integrate bioprocess data effectively and leverage it for better decision-making
- Learn about future developments in AI and 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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