Daniel Catchpole

Past Projects

MSc Individual Project (Summer 2020) - Using the structure of the body with graph convolutional neural networks for human activity recognition

Investigated the suitability of Graph Convolutional Neural Networks (GCNs) in Human Activity Recognition (HAR) problems, especially when data is recorded in a multimodal, multisensory environment. Supervised by Dr Tanaya GuhaLink opens in a new window and Dr Victor SanchezLink opens in a new window.

MSc Group Project (2020) - Using Generative Adversarial Networks to create multi-channel images of cells undergoing macropinocytosis

Evaluated various generative architectures to learn the mapping between a reference protein marker and several secondary proteins within a cell, enabling us to map the spatio-temporal order of actin recruitment within it. Supervised by Dr Till BretschneiderLink opens in a new window with data from 3iLink opens in a new window.