Mathieu Feraud

Mathieu Feraud completed his masters in Data Science in 2019 at The University of Queensland. His capstone project, which was in collaboration with QAEHS, developed a machine learning model to predict toxicity based on the liquid chromatography high-resolution mass spectrometry data and existing toxicity data. In 2020 he has been working on the ARC Discovery project to develop a global platform for identifying emerging chemical threats. Mathieu started his PhD in October 2020 in which he will study and develop predictive modeling.