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Yvetta Lin

Yvetta is currently undertaking MSc Applied Computational Science and Engineering at Imperial College London. For her master dissertation, she concentrates on the topic, ‘Machine Learning Algorithms Based on Dimensionality Reduction for Positron Emission Particle Tracking’. She puts forward two novel Machine Learning methods: PEPT-PCA which is based on Principal Component Analysis and PEPT-AE which is based on Autoencoder.

Yvetta has a keen interest in Deep Reinforcement Learning for multi-agent systems, the research area in which she will pursue in her further study.