Silk Protein Physics
Protein chains are analysed accordingly to the number of connections to other polymer chains and their positions along the chain. A node that is able to connect to other sequences is called a “sticker” and is represented by “1”, otherwise the node is represented by “0”, or an empty circle. How does the specific work to stretch a chain depend on the number of stickers and their position in the presence of extensional flow? This interdisciplinary project is part of a postdoctoral research on the self-assembly of silk protein.
Tags: biology, machine learning, physics, polymer, python, synthetic data
London Weather
Despite living in Manchester, a city notorious for its wet and windy weather, I’ve developed an interest in understanding the dynamics of the weather in the UK. I chose to focus on London due to the availability of detailed public data, using it as a case study for England’s weather. This analysis attempts to make sense of the figures behind a frequent topic of local conversation: the weather.
Tags: data analysis, data visualisation, london, machine learning, python, UK, weather