Last Wednesday, on the 11th of December, Louise and Wei-Chieh (Harry) had their PhD half-time seminar presentations. The aim of the half-time seminar is to give an overview of the already done work but also to discuss the research planned for the second part of their PhD studies.
Louise’s presentation was titled “Quantification Approaches for Prioritisation, Risk Assessment, and Decision-Making for Emerging Contaminants in Environmental Samples”. She started by giving an overview of quantification methods applied to the non-target analysis, and how these approaches have been used in recent publications, followed by a discussion of the results of an interlaboratory study led by her. Her ongoing research focuses on making an online platform to visualize the results of the interlaboratory study and apply graph neural networks for non-target analysis.
Harry’s presentation was titled “Development and Evaluation of Ionization Efficiency Prediction Models for LC-HRMS Non-Target Screening of Emerging Contaminants”. Harry first discussed their recent review focusing on in-silico methods used for structural annotation and then showed how active learning has the potential to improve computational mass spectrometry. His current research focuses on studying measurement uncertainty with machine learning and, together with Louise, utilizing graph neural networks.
After their presentations, both PhD students had in-depth discussions with their opponents – Louise with Prof. Ulrika Nilsson and Harry with Assoc. Prof. Isak Samsten. For both presentations, Prof. Nicole Pamme was the moderator.