Martin Nguyen

While studying a Master’s Degree in Applied Data Science at the University of Canterbury, Martin developed an interest in the versatility of artificial intelligence. In his final project working with GNS, he applied data science concepts to hazard analysis. In this project, he employed one of the generative models – Conditional Tabular Generative Adversarial Network (CTGAN) to enhance the performance of complex probabilistic seismic models. Martin is currently pursuing a PhD in Water Resource Management focussing on advancing a generalised uncertainty estimation method in flood inundation modelling by using machine learning approaches. Martin is honoured to be working with Matthew Wilson (UC) and Emily Lane from NIWA as a part of the MBIE Endeavour research programme, “Reducing flood inundation hazard and risk across Aotearoa/New Zealand”. This project not only offers him opportunities to improve his data handling competencies and explore advanced geospatial techniques, but also gives him a chance to employ what he has studied to contribute to the safety of the public.

Apart from his research, Martin was a professional swimmer and finswimmer when he was in Vietnam for nearly 8 years so you can find him in almost all the pools and maybe at the beach. He also enjoys other sports such as basketball and jogging