Sam is a first year PhD student at Warwick Business School. In his previous life, he spent three years as an economist at the Bank of England analysing financial regulation. He contributed to multiple pieces of banking legislation and co-authored two academic papers on its economic impact. He has been invited to present these papers at several conferences, which made him feel very important.
Prior to working, he studied Economics at the University of Cambridge for four years. He won three Jesus College Scholarships and the Malthus Prize for high academic achievement.
Economic statistics are currently published with long lags and subject to major revisions. Sam’s primary research interest is applying techniques from machine learning to new real-time data sources, such as phones, to improve the speed and accuracy of public statistics. This would highly useful to policymakers, who need an accurate picture of the current state of the economy.
He also wants to use techniques from machine learning in working with unstructured data, such as text and images, to economic problems. These techniques are relatively new, so there is a vast amount of unstructured data available that has not yet been analysed.