Webinar

Practical Method Development for Today’s Analytical Scientist

Method Development Webinar Series

Join our expert-led webinar series focused on modern, efficient approaches to chromatographic method development. Designed for industry scientists, this series will cover practical applications of retention modeling, software-assisted workflows, and in-silico tools to support faster development, reduced experimental effort, and more robust, QbD-aligned methods.

Each session delivers actionable insights you can apply directly to real-world analytical challenges, whether you’re developing new methods or optimizing existing ones.

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Event Agenda

Mar. 4^th, 10:00 EDT | 15:00 GMT | 16:00 CET

Retention Modelling: Principles, Advantages, and Potential Pitfalls to Avoid

Jen Field, Technical Laboratory Supervisor at Shimadzu, explores the principles, benefits, and challenges of retention modelling in chromatography. She shares practical tips to improve model accuracy using software tools like Method Selection Suite and how it can streamline method development by optimizing separations, reducing experiments, and saving resources.

Jen Field, Technical Laboratory Supervisor, Shimadzu

Mar. 11^th, 10:00 EDT | 15:00 GMT | 16:00 CET

Smarter Achiral HPLC Method Development: Leveraging In-Silico Tools for Efficiency

Discover how to accelerate achiral HPLC method development using in-silico tools and digital optimization strategies. Shreya Bondili (Pharmaron) shares how to leverage predictive modeling, automation, and smarter data use to improve efficiency, reduce experimentation, and drive faster, more reliable analytical results.

Shreya Bondili, Scientist, Pharmaron

Mar. 18^th, 10:00 EDT | 15:00 GMT | 16:00 CET

Software-assisted Process for Efficient and Expedited Development of Chromatographic Methods (SPEED-CHROM)

Jens Richards of Corteva Agriscience explains how the SPEED-CHROM initiative helped boost confidence and productivity for a young, less experienced team. By combining predictive modeling, optimized instrumentation, and better communication, the team was able to develop methods faster and with greater accuracy.

Jens Richards, Corteva Agriscience

Mar. 25^th, 10:00 EDT | 15:00 GMT | 16:00 CET

In Silico Modeling for QbD Method Development and Optimization

Azzedine Dabo from GSK shares how in silico modeling supports QbD-driven method development and optimization. In this presentation, he walks through a real-world case study showing how simulation, iterative optimization, and automated method screening with AutoChrom led to a robust, efficient method.

Azzedine Dabo, GSK

Sustainability Sessions
Apr. 15^th, 10:00 EDT | 15:00 GMT | 16:00 CET

Efficient, Sustainable Method Development

Matt Osborne from AstraZeneca provides an overview of sustainability goals for green laboratories and how software can be employed to meet them—focused on chromatographic method development. Matt highlights how they use physicochemical prediction and chromatographic simulation software to achieve optimized, robust, and rugged methods with greater efficiency and sustainability.

Matthew Osborne, Associate Principal Scientist - Separation Science, AstraZeneca

In Silico Mapped Separation Spaces for Green Method Development

Discover how Amgen uses in-silico mapping of separation spaces to develop greener chromatographic methods—reducing solvent use, boosting resolution, and accelerating method development.

Troy Handlovic, Scientist, Amgen

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