CBM Seminar Series – Chemistry-Informed Machine Learning for Mass Spectrometry and Metabolomics

The College of Biomedicine was pleased to host Professor Tao HUAN, Associate Professor in the Department of Chemistry at the University of British Columbia (Vancouver, Canada) and Canada Research Chair in Metabolomics and Exposomics, as a distinguished speaker for the CBM Seminar Series on 2 November 2026.

In his seminar entitled "Chemistry-Informed Machine Learning for Mass Spectrometry and Metabolomics", Prof. HUAN highlighted the importance of integrating chemical knowledge with machine learning to enhance the reliability and interpretability of metabolomics and mass spectrometry analyses. Through examples of chemistry-informed spectral similarity, he demonstrated how incorporating molecular and structural information into machine learning models can enhance molecular characterization and facilitate discoveries in biomedical and chemical research.

The seminar attracted considerable interest from faculty members, researchers, and students, generating engaging discussions on the application of artificial intelligence in biomedical and chemical sciences. Participants gained valuable insights into the potential of interdisciplinary approaches that combine chemistry and machine learning to advance research and support future innovations in molecular data analysis.

(*Disclaimer: For details of the academic content described in this write-up, please refer to the original abstract provided in the event poster.)