Liangfeng Guo,
Chemometrics Lead Scientist,
Paeonia Innovations
Dr. Liangfeng Guo serves as the Chemometrics Lead Scientist at Paeonia Innovations, Singapore, where he directs data-driven methodologies in analytical chemistry. He earned his PhD in Chemical Engineering from the National University of Singapore and possesses over 20 years of specialized expertise in chemometrics, spectroscopy, and advanced data analytics. Prior to his current role, Dr. Guo was a Senior Research Scientist at A*STAR’s Institute of Sustainability for Chemicals, Energy & Environment (ISCE2). There, he led pioneering initiatives in sustainable process development and spectral analysis. As the Principal Investigator for several industry-collaborative grants within Singapore’s pharmaceutical sector, he specialized in applying chemometric and spectroscopic methods to enhance process understanding during the transition to continuous manufacturing.
Chemometrics with AI: From Classical Models to AI-Enhanced Models
Saturday, 6 June 2026 at 15:10
Add to Calendar ▼2026-06-06 15:10:002026-06-06 16:10:00Europe/LondonChemometrics with AI: From Classical Models to AI-Enhanced ModelsFlow Chemistry Asia 2026 in Shenzhen, ChinaShenzhen, ChinaSELECTBIOenquiries@selectbiosciences.com
Spectral analysis is evolving from classical chemometrics, such as PCA and PLS, toward AI-enhanced architectures better suited for the non-linearities and high-dimensional noise of lab-scale flow chemistry. This session examines how deep learning enables automated feature extraction and complex deconvolution, allowing for the precise identification of chemical signatures within the overlapping molecular fingerprints of complex synthesis. By transcending linear models, researchers can maintain analytical integrity during the critical transition from benchtop R&D to pilot-scale validation. This presentation highlights the synergy between computational spectroscopy and miniaturized Mid-IR hardware. By embedding neural networks into ultra-compact spectrometers, it is possible to compensate for reduced optical paths and achieve lab-grade accuracy in-line. For process intensification, these instruments facilitate a "Smart Lab" environment, providing the instantaneous kinetic feedback required to dynamically optimize reaction parameters and ensure rigorous quality control throughout the experimental and pilot phases.
Add to Calendar ▼2026-06-06 00:00:002026-06-07 00:00:00Europe/LondonFlow Chemistry Asia 2026Flow Chemistry Asia 2026 in Shenzhen, ChinaShenzhen, ChinaSELECTBIOenquiries@selectbiosciences.com
Add to Calendar ▼2026-06-06 15:10:002026-06-06 16:10:00Europe/LondonChemometrics with AI: From Classical Models to AI-Enhanced ModelsFlow Chemistry Asia 2026 in Shenzhen, ChinaShenzhen, ChinaSELECTBIOenquiries@selectbiosciences.com
