Amandaa Brewer warns a shortage of large-molecule chromatography experts, as practitioners retire, could leave the next generation without the fundamentals.
News|Videos|October 28, 2026
AI/ML Now: Data Analytics and AI in Chromatography 2027 — A ChromSoc Symposium
Author(s)Tony Edge, Alasdair Matheson
ChromSoc is organizing a two-day symposium, Data Analytics and Ai in Chromatography, from 10–11 May 2027 in the Green Park Conference Centre in Reading, UK.
Advertisement
The Chromatographic Society (ChromSoc) is organizing a two-day symposium called Data Analytics and Ai in Chromatography running from 10-11 May 2027 in the Green Park Conference Centre in Reading, UK. Data analytics and artificial intelligence are moving from concept to routine practice in separation science. The programme brings together speakers from AstraZeneca, Novartis and Novo Nordisk with leading academic researchers. The programme covers four themes: building reliable data foundations, implementation in pharma and CROs, predictive retention modeling, and the practical limits of AI in the lab. A headline panel will debate whether chromatographers could ever be replaced. The event is aimed at chromatographers, method development leads, laboratory directors and researchers looking to bring machine learning into their workflows.
LCGC international spoke to Tony Edge, President of The Chromatographic Society, about the thinking behind the programme and why separation scientists should attend.
View the full video here:
Further information
Website;
Advertisement
Related to this article
Recent EU legislation on PFAS shifts from monitoring individual compounds toward managing them as a chemical class.
Nicolai Zederkopff explores chromatography’s role to help implement the maximum tolerable level (MTL) framework for food adulteration to translate analytical results into compliance decisions.
Ed Ahearne highlights the benefits of ML-driven chromatography for the development of biopharmaceutical products
Ed Ahearne combined automation, machine learning, and Bayesian optimization to speed up method development for siRNA medicines.
Laura Righetti explains why quantification, not instrumentation, still keeps mass spectrometry imaging (MSI) out of routine food safety testing.
Anneli Kruve reports that toxicity predictions from MS2-derived molecular fingerprints outperform spectral-similarity methods in nontarget screening of food.
Five years after its founding, the Hungarian developer of centrifugal partition chromatography is making the case that liquid–liquid separation belongs on the analytical bench as well as the production floor.
Advertisement
Advertisement
Trending on LCGC International
1
Derivatization Enhances LC-IM-MS of 11-Oxosteroids
2
Peaks & Pioneers: Amandaa Brewer on Chromatography’s Coming Expertise Gap
3
Conversations with Michael Dong: Why UV Detection Dominates Pharmaceutical Analysis and Quality Control
4
Industry Roundup: Rethinking Headspace SPME: Parallel Extraction for MS Workflows
5