Andrew Burnie is studying for a PhD in Computer Science at UCL. His research applies open-source tools (e.g. R and Python) to analyse the linkage between changes in social
His research examines the association between events and concerns expressed in social media posts and phasic shifts in the cryptocurrency price movement across time. This applies natural language processing, neural networks (word2vec), non-parametric statistical hypothesis testing, time series analysis, social media analysis, causal inference and sentiment analysis.