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Daniel Catchpole

Hi, I'm currently a first year PhD student in the MathSys II CDT. My current research is surrounding the use of multimodal data in creating and improving new machine learning methods and models in classification problems. As varying types of multimodal data exist in a variety of contexts, I'm interested in an equally wide variety of applications, however I am currently focusing primarily on healthcare applications.

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 Guha and Dr Victor Sanchez.

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 Bretschneider with data from 3i.


This Year

CS355 - Digital Forensics (Term 2, January - March 2021), Teaching Assistant

CS342 - Machine Learning (Term 1, October - December 2020), Teaching Assistant


CS313 - Mobile Robotics (Term 1, October - December 2019), Teaching Assistant

CS141 - Functional Programming (Term 2, January - March 2019), Teaching Assistant


Office D2.05, Complexity Science, Zeeman Building

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