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Statistics and Chemometrics Working Group Webinar on Generative AI in Chemometrics

Webinar

CPACT’s Statistics and Chemometrics Working Group

Webinar on Generative AI in Chemometrics

10th December 2026 at 3pm UK time

 

In this webinar we will have 3 short talks regarding 3 perspectives on generative AI in chemometrics.

Mark Earll from Syngenta

AI is fulfilling the dream that you can address a computer in natural language and get it to do stuff without having to learn obscure programming languages. Mark will describe his experiences in “Collaborative Software Engineering” a.k.a “Vibe Coding” over the last 9 months creating applied chemometrics tools in R-Shiny that solve specific problems for chemists and engineers. The experience has been extremely positive, akin to having a capable research assistant/programming team by your side. This has enabled a much deeper understanding of chemometric methods and exploration of algorithms not implemented in commercial software as well as de-mystifying some of the ‘hearsay’ and ‘dark art’ surrounding Chemometrics

Arthur McWhirter-Loudon from University of Surrey

A major challenge in many public and academic papers in demonstrating chemometric methods or developing AI models is a lack of data. In this short talk we review the current trends and methods for using Generative AI for simulated data. The work looks at reproducing and making comments on the use of LLMs, VAEs and GANs in spectral datasets and their relative success.

Owen Rehrauer from Sentronic 

There exists a tremendous amount of excitement for many methods called "AI" within the PAT and chemometrics community. While exciting, these methods have limitations and drawbacks that should be considered when implementing "AI". This talk will discuss scientific, practical, and (when relevant) regulatory considerations in the implementation of AI approaches in, and supporting, chemometric data analysis.

This webinar will last no longer than one hour.

The webinar is for CPACT members only and is free to attend.

Please register at:

https://universityofstrathclyde.webex.com/weblink/register/r130064aec1f82ef6d5465b350ae9d56a

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