Adapting LCMS workflows from Low to High-throughput

About this webinar

Join Edward Hsieh from Gilead Sciences as he delves into the evolution of their LCMS workflows. Faced with a surge in sample numbers and diversity, the Protein Therapeutics team embarked on a journey to transform their analytical processes from low to high throughput. This presentation will walk you through the challenges they encountered and the comprehensive optimizations they implemented across sample preparation, LC-MS analysis, and data processing. Discover how they leveraged automation, integrated a centralized biologics database, and streamlined data analysis to meet the demands of a rapidly growing biologics development pipeline.

Key Takeaways:

1. Holistic Workflow Optimization: Learn why optimizing the entire workflow, from sample submission to data reporting, is crucial for a successful transition to high-throughput analysis, rather than focusing on isolated steps.
2. The Power of Automation and Integration: See how automating sample preparation and integrating a centralized database for sample information and analysis workflows can dramatically improve efficiency and reduce manual effort.
3. The Future is Automated and Data-Driven: Gain insights into the future of high-throughput LCMS, including the vision for true end-to-end automation and the potential of structured data capture for enabling machine learning and deeper data exploration

Our Speaker

Edward Hsieh is a mass spectrometry scientist at Gilead Sciences with expertise in molecular assessment and characterization of protein therapeutics. Drawing on his unique background in molecular biology, instrumentation, and computational research, he develops cutting-edge LC-MS workflows that bridge traditional analytical approaches with modern high-throughput demands.