Kate Kemsley

Kate Kemsley is a Professor in the School of Chemistry, Pharmacy and Pharmacology at the University of East Anglia (UEA), where she leads the Centre of Expertise in Food Authenticity, part of the UK's Food Authenticity Network. She also holds an external role as Scientific Director at Mestrelab Research S.L., a scientific software division of Bruker Corporation.

Education:

• Doctor of Philosophy
• Master of Physics, University of Oxford

Her research focuses on the application of computational statistics, machine learning, and deep learning to diverse datasets including NMR, LC-MS, infrared, and Raman spectroscopy, with a strong emphasis on food authenticity and natural product integrity. She applies AI and cheminformatics to detect adulteration in edible oils, spices, coffee, fruits, and meat. A significant portion of her recent work involves high-resolution and benchtop NMR data analysis using convolutional and message-passing neural networks.

The most recent articles highlight a strong trend in applying deep learning models—particularly message passing neural networks (MPNNs)—to predict NMR chemical shifts and verify molecular structures. These works bridge cheminformatics and artificial intelligence, demonstrating applications in small molecule analysis, metabolomics, and food authenticity. The research spans analytical chemistry, machine learning, and industrial applications in food, pharma, and instrumentation.

Scientific Awards and Recognition:

• h-index of 37 (Scopus)
• Leader of UEA's Centre of Expertise in Food Authenticity
• Member of DEFRA Expert Committee, Authenticity Methodology Working Group (2024–2027)

She is actively involved in advising and research grants, currently leading or participating in multiple funded projects such as AI-driven small molecule structure elucidation, metabolomics studies on arthritis, and integration of compact NMR with mass spectrometry. Her collaborations span forensic, food, pharmaceutical, and instrumentation sectors, including partnerships with Mestrelab Research and Versus Arthritis. She is accepting PhD students and regularly contributes to training and dissemination through webinars and workshops.

Kate Kemsley is affiliated with key research groups including the UEA Centre of Expertise in Food Authenticity and collaborates with the Community for Analytical Measurement Science and the UK Food Authenticity Network. Her work integrates academic research with industrial software development through her role at Mestrelab, advancing automation and high-throughput analysis in chemical and food sciences.